<?xml version="1.0" encoding="UTF-8" ?>
< oai_dc:dc schemaLocation =" http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd " >
< dc:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dc:title >
< dc:creator > Navarro-López, Carolina </ dc:creator >
< dc:creator > González Morcillo, Carlos </ dc:creator >
< dc:creator > Mulet-Forteza, Carles </ dc:creator >
< dc:creator > Linares Mustarós, Salvador </ dc:creator >
< dc:contributor > Agencia Estatal de Investigación </ dc:contributor >
< dc:subject > Bibliometria </ dc:subject >
< dc:subject > Bibliometrics </ dc:subject >
< dc:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dc:subject >
< dc:subject > Anàlisi multivariable </ dc:subject >
< dc:subject > Multivariate analysis </ dc:subject >
< dc:description > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dc:description >
< dc:description > The article was supported by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-095518-B-C21) </ dc:description >
< dc:date > 2021-01 </ dc:date >
< dc:type > info:eu-repo/semantics/article </ dc:type >
< dc:type > info:eu-repo/semantics/publishedVersion </ dc:type >
< dc:type > peer-reviewed </ dc:type >
< dc:identifier > http://hdl.handle.net/10256/19511 </ dc:identifier >
< dc:relation > info:eu-repo/semantics/altIdentifier/doi/10.17713/ajs.v50i2.1066 </ dc:relation >
< dc:relation > info:eu-repo/semantics/altIdentifier/issn/1026-597X </ dc:relation >
< dc:language > eng </ dc:language >
< dc:relation > RTI2018-095518-B-C21 </ dc:relation >
< dc:relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dc:relation >
< dc:source > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dc:source >
< dc:source > Articles publicats (D-EM) </ dc:source >
< dc:rights > Attribution 4.0 International </ dc:rights >
< dc:rights > http://creativecommons.org/licenses/by/4.0/ </ dc:rights >
< dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
< dc:format > application/pdf </ dc:format >
< dc:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dc:publisher >
</ oai_dc:dc >
<?xml version="1.0" encoding="UTF-8" ?>
< d:DIDL schemaLocation =" urn:mpeg:mpeg21:2002:02-DIDL-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/did/didl.xsd " >
< d:DIDLInfo >
< dcterms:created schemaLocation =" http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/dcterms.xsd " > 2021-05-17T10:22:55Z </ dcterms:created >
</ d:DIDLInfo >
< d:Item id =" hdl_10256_19511 " >
< d:Descriptor >
< d:Statement mimeType =" application/xml; charset=utf-8 " >
< dii:Identifier schemaLocation =" urn:mpeg:mpeg21:2002:01-DII-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/dii/dii.xsd " > urn:hdl:10256/19511 </ dii:Identifier >
</ d:Statement >
</ d:Descriptor >
< d:Descriptor >
< d:Statement mimeType =" application/xml; charset=utf-8 " >
< oai_dc:dc schemaLocation =" http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd " >
< dc:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dc:title >
< dc:creator > Navarro-López, Carolina </ dc:creator >
< dc:creator > González Morcillo, Carlos </ dc:creator >
< dc:creator > Mulet-Forteza, Carles </ dc:creator >
< dc:creator > Linares Mustarós, Salvador </ dc:creator >
< dc:contributor > Agencia Estatal de Investigación </ dc:contributor >
< dc:subject > Bibliometria </ dc:subject >
< dc:subject > Bibliometrics </ dc:subject >
< dc:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dc:subject >
< dc:subject > Anàlisi multivariable </ dc:subject >
< dc:subject > Multivariate analysis </ dc:subject >
< dc:description > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dc:description >
< dc:date > 2021-05-17T10:22:55Z </ dc:date >
< dc:date > 2021-05-17T10:22:55Z </ dc:date >
< dc:date > 2021-01 </ dc:date >
< dc:type > info:eu-repo/semantics/article </ dc:type >
< dc:identifier > 1026-597X </ dc:identifier >
< dc:identifier > http://hdl.handle.net/10256/19511 </ dc:identifier >
< dc:identifier > https://doi.org/10.17713/ajs.v50i2.1066 </ dc:identifier >
< dc:identifier > 033144 </ dc:identifier >
< dc:language > eng </ dc:language >
< dc:relation > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ dc:relation >
< dc:relation > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dc:relation >
< dc:relation > Articles publicats (D-EM) </ dc:relation >
< dc:relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dc:relation >
< dc:relation > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ dc:relation >
< dc:relation > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ dc:relation >
< dc:relation > RTI2018-095518-B-C21 </ dc:relation >
< dc:rights > http://creativecommons.org/licenses/by/4.0/ </ dc:rights >
< dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
< dc:rights > Attribution 4.0 International </ dc:rights >
< dc:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dc:publisher >
</ oai_dc:dc >
</ d:Statement >
</ d:Descriptor >
< d:Component id =" 10256_19511_1 " >
</ d:Component >
</ d:Item >
</ d:DIDL >
<?xml version="1.0" encoding="UTF-8" ?>
< dim:dim schemaLocation =" http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd " >
< dim:field element =" contributor " mdschema =" dc " qualifier =" author " > Navarro-López, Carolina </ dim:field >
< dim:field element =" contributor " mdschema =" dc " qualifier =" author " > González Morcillo, Carlos </ dim:field >
< dim:field element =" contributor " mdschema =" dc " qualifier =" author " > Mulet-Forteza, Carles </ dim:field >
< dim:field element =" contributor " mdschema =" dc " qualifier =" author " > Linares Mustarós, Salvador </ dim:field >
< dim:field element =" contributor " mdschema =" dc " qualifier =" funder " > Agencia Estatal de Investigación </ dim:field >
< dim:field element =" date " mdschema =" dc " qualifier =" accessioned " > 2021-05-17T10:22:55Z </ dim:field >
< dim:field element =" date " mdschema =" dc " qualifier =" available " > 2021-05-17T10:22:55Z </ dim:field >
< dim:field element =" date " mdschema =" dc " qualifier =" issued " > 2021-01 </ dim:field >
< dim:field element =" identifier " mdschema =" dc " qualifier =" issn " > 1026-597X </ dim:field >
< dim:field element =" identifier " mdschema =" dc " qualifier =" uri " > http://hdl.handle.net/10256/19511 </ dim:field >
< dim:field element =" identifier " mdschema =" dc " qualifier =" doi " > https://doi.org/10.17713/ajs.v50i2.1066 </ dim:field >
< dim:field element =" identifier " mdschema =" dc " qualifier =" idgrec " > 033144 </ dim:field >
< dim:field element =" description " mdschema =" dc " qualifier =" abstract " > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dim:field >
< dim:field element =" description " mdschema =" dc " qualifier =" provenance " > Submitted by CLAUDIA PLANA (claudia.plana@udg.edu) on 2021-05-17T10:22:55Z No. of bitstreams: 2 license_rdf: 908 bytes, checksum: 0175ea4a2d4caec4bbcc37e300941108 (MD5) BibliometricAnalysis.pdf: 592292 bytes, checksum: 88232b7bfc8cf9c2693e91f053f83626 (MD5) </ dim:field >
< dim:field element =" description " mdschema =" dc " qualifier =" provenance " > Made available in DSpace on 2021-05-17T10:22:55Z (GMT). No. of bitstreams: 2 license_rdf: 908 bytes, checksum: 0175ea4a2d4caec4bbcc37e300941108 (MD5) BibliometricAnalysis.pdf: 592292 bytes, checksum: 88232b7bfc8cf9c2693e91f053f83626 (MD5) Previous issue date: 2021-01 </ dim:field >
< dim:field element =" description " mdschema =" dc " qualifier =" sponsorship " > The article was supported by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-095518-B-C21) </ dim:field >
< dim:field element =" format " mdschema =" dc " qualifier =" mimetype " > application/pdf </ dim:field >
< dim:field element =" language " mdschema =" dc " qualifier =" iso " > eng </ dim:field >
< dim:field element =" publisher " mdschema =" dc " > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dim:field >
< dim:field element =" relation " mdschema =" dc " > RTI2018-095518-B-C21 </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" isformatof " > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" ispartof " > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" ispartofseries " > Articles publicats (D-EM) </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" projectID " > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" FundingProgramme " > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ dim:field >
< dim:field element =" relation " mdschema =" dc " qualifier =" ProjectAcronym " > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ dim:field >
< dim:field element =" rights " mdschema =" dc " > Attribution 4.0 International </ dim:field >
< dim:field element =" rights " mdschema =" dc " qualifier =" uri " > http://creativecommons.org/licenses/by/4.0/ </ dim:field >
< dim:field element =" rights " mdschema =" dc " qualifier =" accessRights " > info:eu-repo/semantics/openAccess </ dim:field >
< dim:field element =" subject " mdschema =" dc " > Bibliometria </ dim:field >
< dim:field element =" subject " mdschema =" dc " > Bibliometrics </ dim:field >
< dim:field element =" subject " mdschema =" dc " > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dim:field >
< dim:field element =" subject " mdschema =" dc " > Anàlisi multivariable </ dim:field >
< dim:field element =" subject " mdschema =" dc " > Multivariate analysis </ dim:field >
< dim:field element =" title " mdschema =" dc " > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dim:field >
< dim:field element =" type " mdschema =" dc " > info:eu-repo/semantics/article </ dim:field >
< dim:field element =" type " mdschema =" dc " qualifier =" version " > info:eu-repo/semantics/publishedVersion </ dim:field >
< dim:field element =" type " mdschema =" dc " qualifier =" peerreviewed " > peer-reviewed </ dim:field >
</ dim:dim >
<?xml version="1.0" encoding="UTF-8" ?>
< rdf:RDF schemaLocation =" http://www.w3.org/1999/02/22-rdf-syntax-ns# http://www.europeana.eu/schemas/edm/EDM.xsd " >
< edm:ProvidedCHO about =" https://catalonica.bnc.cat/catalonicahub/lod/oai:dugi-doc.udg.edu:10256_--_19511#ent0 " >
< dc:contributor > Agencia Estatal de Investigación </ dc:contributor >
< dc:creator > Navarro-López, Carolina </ dc:creator >
< dc:creator > González Morcillo, Carlos </ dc:creator >
< dc:creator > Mulet-Forteza, Carles </ dc:creator >
< dc:creator > Linares Mustarós, Salvador </ dc:creator >
< dc:date > 2021-01 </ dc:date >
< dc:description > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dc:description >
< dc:description > The article was supported by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-095518-B-C21) </ dc:description >
< dc:identifier > http://hdl.handle.net/10256/19511 </ dc:identifier >
< dc:language > eng </ dc:language >
< dc:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dc:publisher >
< dc:relation > info:eu-repo/semantics/altIdentifier/doi/10.17713/ajs.v50i2.1066 </ dc:relation >
< dc:relation > info:eu-repo/semantics/altIdentifier/issn/1026-597X </ dc:relation >
< dc:relation > RTI2018-095518-B-C21 </ dc:relation >
< dc:relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dc:relation >
< dc:rights > Attribution 4.0 International </ dc:rights >
< dc:rights > http://creativecommons.org/licenses/by/4.0/ </ dc:rights >
< dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
< dc:source > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dc:source >
< dc:source > Articles publicats (D-EM) </ dc:source >
< dc:subject > Bibliometria </ dc:subject >
< dc:subject > Bibliometrics </ dc:subject >
< dc:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dc:subject >
< dc:subject > Anàlisi multivariable </ dc:subject >
< dc:subject > Multivariate analysis </ dc:subject >
< dc:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dc:title >
< dc:type > info:eu-repo/semantics/article </ dc:type >
< dc:type > info:eu-repo/semantics/publishedVersion </ dc:type >
< dc:type > peer-reviewed </ dc:type >
< edm:type > TEXT </ edm:type >
</ edm:ProvidedCHO >
< ore:Aggregation about =" https://catalonica.bnc.cat/catalonicahub/lod/oai:dugi-doc.udg.edu:10256_--_19511#ent1 " >
< edm:dataProvider > DUGiDocs. Recerca </ edm:dataProvider >
< edm:provider > Catalònica </ edm:provider >
</ ore:Aggregation >
</ rdf:RDF >
<?xml version="1.0" encoding="UTF-8" ?>
< thesis schemaLocation =" http://www.ndltd.org/standards/metadata/etdms/1.0/ http://www.ndltd.org/standards/metadata/etdms/1.0/etdms.xsd " >
< title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ title >
< creator > Navarro-López, Carolina </ creator >
< creator > González Morcillo, Carlos </ creator >
< creator > Mulet-Forteza, Carles </ creator >
< creator > Linares Mustarós, Salvador </ creator >
< contributor > Agencia Estatal de Investigación </ contributor >
< subject > Bibliometria </ subject >
< subject > Bibliometrics </ subject >
< subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ subject >
< subject > Anàlisi multivariable </ subject >
< subject > Multivariate analysis </ subject >
< description > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ description >
< date > 2021-05-17 </ date >
< date > 2021-05-17 </ date >
< date > 2021-01 </ date >
< type > info:eu-repo/semantics/article </ type >
< identifier > 1026-597X </ identifier >
< identifier > http://hdl.handle.net/10256/19511 </ identifier >
< identifier > https://doi.org/10.17713/ajs.v50i2.1066 </ identifier >
< identifier > 033144 </ identifier >
< language > eng </ language >
< relation > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ relation >
< relation > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ relation >
< relation > Articles publicats (D-EM) </ relation >
< relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ relation >
< relation > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ relation >
< relation > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ relation >
< relation > RTI2018-095518-B-C21 </ relation >
< rights > http://creativecommons.org/licenses/by/4.0/ </ rights >
< rights > info:eu-repo/semantics/openAccess </ rights >
< rights > Attribution 4.0 International </ rights >
< publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ publisher >
</ thesis >
<?xml version="1.0" encoding="UTF-8" ?>
< record schemaLocation =" http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd " >
< leader > 00925njm 22002777a 4500 </ leader >
< datafield ind1 =" " ind2 =" " tag =" 042 " >
< subfield code =" a " > dc </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 720 " >
< subfield code =" a " > Navarro-López, Carolina </ subfield >
< subfield code =" e " > author </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 720 " >
< subfield code =" a " > González Morcillo, Carlos </ subfield >
< subfield code =" e " > author </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 720 " >
< subfield code =" a " > Mulet-Forteza, Carles </ subfield >
< subfield code =" e " > author </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 720 " >
< subfield code =" a " > Linares Mustarós, Salvador </ subfield >
< subfield code =" e " > author </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 260 " >
< subfield code =" c " > 2021-01 </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 520 " >
< subfield code =" a " > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ subfield >
</ datafield >
< datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
< subfield code =" a " > 1026-597X </ subfield >
</ datafield >
< datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
< subfield code =" a " > http://hdl.handle.net/10256/19511 </ subfield >
</ datafield >
< datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
< subfield code =" a " > https://doi.org/10.17713/ajs.v50i2.1066 </ subfield >
</ datafield >
< datafield ind1 =" 8 " ind2 =" " tag =" 024 " >
< subfield code =" a " > 033144 </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 653 " >
< subfield code =" a " > Bibliometria </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 653 " >
< subfield code =" a " > Bibliometrics </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 653 " >
< subfield code =" a " > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 653 " >
< subfield code =" a " > Anàlisi multivariable </ subfield >
</ datafield >
< datafield ind1 =" " ind2 =" " tag =" 653 " >
< subfield code =" a " > Multivariate analysis </ subfield >
</ datafield >
< datafield ind1 =" 0 " ind2 =" 0 " tag =" 245 " >
< subfield code =" a " > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ subfield >
</ datafield >
</ record >
<?xml version="1.0" encoding="UTF-8" ?>
< mets ID =" DSpace_ITEM_10256-19511 " OBJID =" hdl:10256/19511 " PROFILE =" DSpace METS SIP Profile 1.0 " TYPE =" DSpace ITEM " schemaLocation =" http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd " >
< metsHdr CREATEDATE =" 2024-02-08T09:11:20Z " >
< agent ROLE =" CUSTODIAN " TYPE =" ORGANIZATION " >
< name > DUGiDocs </ name >
</ agent >
</ metsHdr >
< dmdSec ID =" DMD_10256_19511 " >
< mdWrap MDTYPE =" MODS " >
< xmlData schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
< mods:mods schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
< mods:name >
< mods:role >
< mods:roleTerm type =" text " > author </ mods:roleTerm >
</ mods:role >
< mods:namePart > Navarro-López, Carolina </ mods:namePart >
</ mods:name >
< mods:name >
< mods:role >
< mods:roleTerm type =" text " > author </ mods:roleTerm >
</ mods:role >
< mods:namePart > González Morcillo, Carlos </ mods:namePart >
</ mods:name >
< mods:name >
< mods:role >
< mods:roleTerm type =" text " > author </ mods:roleTerm >
</ mods:role >
< mods:namePart > Mulet-Forteza, Carles </ mods:namePart >
</ mods:name >
< mods:name >
< mods:role >
< mods:roleTerm type =" text " > author </ mods:roleTerm >
</ mods:role >
< mods:namePart > Linares Mustarós, Salvador </ mods:namePart >
</ mods:name >
< mods:name >
< mods:role >
< mods:roleTerm type =" text " > funder </ mods:roleTerm >
</ mods:role >
< mods:namePart > Agencia Estatal de Investigación </ mods:namePart >
</ mods:name >
< mods:extension >
< mods:dateAccessioned encoding =" iso8601 " > 2021-05-17T10:22:55Z </ mods:dateAccessioned >
</ mods:extension >
< mods:extension >
< mods:dateAvailable encoding =" iso8601 " > 2021-05-17T10:22:55Z </ mods:dateAvailable >
</ mods:extension >
< mods:originInfo >
< mods:dateIssued encoding =" iso8601 " > 2021-01 </ mods:dateIssued >
</ mods:originInfo >
< mods:identifier type =" issn " > 1026-597X </ mods:identifier >
< mods:identifier type =" uri " > http://hdl.handle.net/10256/19511 </ mods:identifier >
< mods:identifier type =" doi " > https://doi.org/10.17713/ajs.v50i2.1066 </ mods:identifier >
< mods:identifier type =" idgrec " > 033144 </ mods:identifier >
< mods:abstract > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ mods:abstract >
< mods:language >
< mods:languageTerm authority =" rfc3066 " > eng </ mods:languageTerm >
</ mods:language >
< mods:accessCondition type =" useAndReproduction " > Attribution 4.0 International </ mods:accessCondition >
< mods:subject >
< mods:topic > Bibliometria </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Bibliometrics </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Anàlisi multivariable </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Multivariate analysis </ mods:topic >
</ mods:subject >
< mods:titleInfo >
< mods:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ mods:title >
</ mods:titleInfo >
< mods:genre > info:eu-repo/semantics/article </ mods:genre >
</ mods:mods >
</ xmlData >
</ mdWrap >
</ dmdSec >
< amdSec ID =" TMD_10256_19511 " >
< rightsMD ID =" RIG_10256_19511 " >
< mdWrap MDTYPE =" OTHER " MIMETYPE =" text/plain " OTHERMDTYPE =" DSpaceDepositLicense " >
< binData > Tk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= </ binData >
</ mdWrap >
</ rightsMD >
</ amdSec >
< amdSec ID =" FO_10256_19511_1 " >
< techMD ID =" TECH_O_10256_19511_1 " >
< mdWrap MDTYPE =" PREMIS " >
< xmlData schemaLocation =" http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd " >
< premis:premis >
< premis:object >
< premis:objectIdentifier >
< premis:objectIdentifierType > URL </ premis:objectIdentifierType >
< premis:objectIdentifierValue > https://dugi-doc.udg.edu/bitstream/10256/19511/1/BibliometricAnalysis.pdf </ premis:objectIdentifierValue >
</ premis:objectIdentifier >
< premis:objectCategory > File </ premis:objectCategory >
< premis:objectCharacteristics >
< premis:fixity >
< premis:messageDigestAlgorithm > MD5 </ premis:messageDigestAlgorithm >
< premis:messageDigest > 88232b7bfc8cf9c2693e91f053f83626 </ premis:messageDigest >
</ premis:fixity >
< premis:size > 592292 </ premis:size >
< premis:format >
< premis:formatDesignation >
< premis:formatName > application/pdf </ premis:formatName >
</ premis:formatDesignation >
</ premis:format >
</ premis:objectCharacteristics >
< premis:originalName > BibliometricAnalysis.pdf </ premis:originalName >
</ premis:object >
</ premis:premis >
</ xmlData >
</ mdWrap >
</ techMD >
</ amdSec >
< fileSec >
< fileGrp USE =" ORIGINAL " >
< file ADMID =" FO_10256_19511_1 " CHECKSUM =" 88232b7bfc8cf9c2693e91f053f83626 " CHECKSUMTYPE =" MD5 " GROUPID =" GROUP_BITSTREAM_10256_19511_1 " ID =" BITSTREAM_ORIGINAL_10256_19511_1 " MIMETYPE =" application/pdf " SEQ =" 1 " SIZE =" 592292 " >
</ file >
</ fileGrp >
</ fileSec >
< structMap LABEL =" DSpace Object " TYPE =" LOGICAL " >
< div ADMID =" DMD_10256_19511 " TYPE =" DSpace Object Contents " >
< div TYPE =" DSpace BITSTREAM " >
</ div >
</ div >
</ structMap >
</ mets >
<?xml version="1.0" encoding="UTF-8" ?>
< mods:mods schemaLocation =" http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd " >
< mods:name >
< mods:namePart > Navarro-López, Carolina </ mods:namePart >
</ mods:name >
< mods:name >
< mods:namePart > González Morcillo, Carlos </ mods:namePart >
</ mods:name >
< mods:name >
< mods:namePart > Mulet-Forteza, Carles </ mods:namePart >
</ mods:name >
< mods:name >
< mods:namePart > Linares Mustarós, Salvador </ mods:namePart >
</ mods:name >
< mods:extension >
< mods:dateAvailable encoding =" iso8601 " > 2021-05-17T10:22:55Z </ mods:dateAvailable >
</ mods:extension >
< mods:extension >
< mods:dateAccessioned encoding =" iso8601 " > 2021-05-17T10:22:55Z </ mods:dateAccessioned >
</ mods:extension >
< mods:originInfo >
< mods:dateIssued encoding =" iso8601 " > 2021-01 </ mods:dateIssued >
</ mods:originInfo >
< mods:identifier type =" issn " > 1026-597X </ mods:identifier >
< mods:identifier type =" uri " > http://hdl.handle.net/10256/19511 </ mods:identifier >
< mods:identifier type =" doi " > https://doi.org/10.17713/ajs.v50i2.1066 </ mods:identifier >
< mods:identifier type =" idgrec " > 033144 </ mods:identifier >
< mods:abstract > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ mods:abstract >
< mods:language >
< mods:languageTerm > eng </ mods:languageTerm >
</ mods:language >
< mods:accessCondition type =" useAndReproduction " > http://creativecommons.org/licenses/by/4.0/ </ mods:accessCondition >
< mods:accessCondition type =" useAndReproduction " > info:eu-repo/semantics/openAccess </ mods:accessCondition >
< mods:accessCondition type =" useAndReproduction " > Attribution 4.0 International </ mods:accessCondition >
< mods:subject >
< mods:topic > Bibliometria </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Bibliometrics </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Anàlisi multivariable </ mods:topic >
</ mods:subject >
< mods:subject >
< mods:topic > Multivariate analysis </ mods:topic >
</ mods:subject >
< mods:titleInfo >
< mods:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ mods:title >
</ mods:titleInfo >
< mods:genre > info:eu-repo/semantics/article </ mods:genre >
</ mods:mods >
<?xml version="1.0" encoding="UTF-8" ?>
< datacite:resource schemaLocation =" http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4-2/metadata.xsd " >
< datacite:identifier identifierType =" Handle " > http://hdl.handle.net/10256/19511 </ datacite:identifier >
< datacite:titles >
< datacite:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ datacite:title >
</ datacite:titles >
< datacite:creators >
< datacite:creator >
< datacite:creatorName > Navarro-López, Carolina </ datacite:creatorName >
</ datacite:creator >
< datacite:creator >
< datacite:creatorName > González Morcillo, Carlos </ datacite:creatorName >
</ datacite:creator >
< datacite:creator >
< datacite:creatorName > Mulet-Forteza, Carles </ datacite:creatorName >
</ datacite:creator >
< datacite:creator >
< datacite:creatorName > Linares Mustarós, Salvador </ datacite:creatorName >
< datacite:nameIdentifier nameIdentifierScheme =" ORCID " schemeURI =" http://orcid.org/ " > 0000-0001-6274-9410 </ datacite:nameIdentifier >
</ datacite:creator >
</ datacite:creators >
< datacite:subjects >
< datacite:subject > Bibliometria </ datacite:subject >
< datacite:subject > Bibliometrics </ datacite:subject >
< datacite:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ datacite:subject >
< datacite:subject > Anàlisi multivariable </ datacite:subject >
< datacite:subject > Multivariate analysis </ datacite:subject >
</ datacite:subjects >
< datacite:descriptions >
< datacite:description descriptionType =" Abstract " > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ datacite:description >
</ datacite:descriptions >
< datacite:dates >
< datacite:date dateType =" Issued " > 2021-01 </ datacite:date >
</ datacite:dates >
< datacite:publicationYear > 2021 </ datacite:publicationYear >
< datacite:languages >
< datacite:language > eng </ datacite:language >
</ datacite:languages >
< datacite:relatedIdentifiers >
< datacite:relatedIdentifier relatedIdentifierType =" URL " relationType =" IsSupplementTo " > 1026-597X </ datacite:relatedIdentifier >
< datacite:relatedIdentifier relatedIdentifierType =" DOI " relationType =" IsSupplementTo " > https://doi.org/10.17713/ajs.v50i2.1066 </ datacite:relatedIdentifier >
< datacite:relatedIdentifier relatedIdentifierType =" URL " relationType =" IsSupplementTo " > 033144 </ datacite:relatedIdentifier >
</ datacite:relatedIdentifiers >
< datacite:rightsList >
< datacite:rights > Attribution 4.0 International </ datacite:rights >
< datacite:rights rightsURI =" http://creativecommons.org/licenses/by/4.0/ " > http://creativecommons.org/licenses/by/4.0/ </ datacite:rights >
< datacite:rights rightsURI =" info:eu-repo/semantics/openAccess " > info:eu-repo/semantics/openAccess </ datacite:rights >
</ datacite:rightsList >
< datacite:formats >
< datacite:format > application/pdf </ datacite:format >
</ datacite:formats >
< datacite:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ datacite:publisher >
</ datacite:resource >
<?xml version="1.0" encoding="UTF-8" ?>
< atom:entry schemaLocation =" http://www.w3.org/2005/Atom http://www.kbcafe.com/rss/atom.xsd.xml " >
< atom:id > http://hdl.handle.net/10256/19511/ore.xml </ atom:id >
< atom:published > 2021-05-17T10:22:55Z </ atom:published >
< atom:updated > 2021-05-17T10:22:55Z </ atom:updated >
< atom:source >
< atom:generator > DUGiDocs </ atom:generator >
</ atom:source >
< atom:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ atom:title >
< atom:author >
< atom:name > Navarro-López, Carolina </ atom:name >
</ atom:author >
< atom:author >
< atom:name > González Morcillo, Carlos </ atom:name >
</ atom:author >
< atom:author >
< atom:name > Mulet-Forteza, Carles </ atom:name >
</ atom:author >
< atom:author >
< atom:name > Linares Mustarós, Salvador </ atom:name >
</ atom:author >
< oreatom:triples >
< rdf:Description about =" http://hdl.handle.net/10256/19511/ore.xml#atom " >
< dcterms:modified > 2021-05-17T10:22:55Z </ dcterms:modified >
</ rdf:Description >
< rdf:Description about =" https://dugi-doc.udg.edu/bitstream/10256/19511/3/license.txt " >
< dcterms:description > LICENSE </ dcterms:description >
</ rdf:Description >
< rdf:Description about =" https://dugi-doc.udg.edu/bitstream/10256/19511/2/license_rdf " >
< dcterms:description > CC-LICENSE </ dcterms:description >
</ rdf:Description >
< rdf:Description about =" https://dugi-doc.udg.edu/bitstream/10256/19511/1/BibliometricAnalysis.pdf " >
< dcterms:description > ORIGINAL </ dcterms:description >
</ rdf:Description >
</ oreatom:triples >
</ atom:entry >
<?xml version="1.0" encoding="UTF-8" ?>
< qdc:qualifieddc schemaLocation =" http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd " >
< dc:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dc:title >
< dc:creator > Navarro-López, Carolina </ dc:creator >
< dc:creator > González Morcillo, Carlos </ dc:creator >
< dc:creator > Mulet-Forteza, Carles </ dc:creator >
< dc:creator > Linares Mustarós, Salvador </ dc:creator >
< dc:contributor > Agencia Estatal de Investigación </ dc:contributor >
< dc:subject > Bibliometria </ dc:subject >
< dc:subject > Bibliometrics </ dc:subject >
< dc:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dc:subject >
< dc:subject > Anàlisi multivariable </ dc:subject >
< dc:subject > Multivariate analysis </ dc:subject >
< dcterms:abstract > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dcterms:abstract >
< dcterms:issued > 2021-01 </ dcterms:issued >
< dc:type > info:eu-repo/semantics/article </ dc:type >
< dc:identifier > 1026-597X </ dc:identifier >
< dc:identifier > http://hdl.handle.net/10256/19511 </ dc:identifier >
< dc:identifier > https://doi.org/10.17713/ajs.v50i2.1066 </ dc:identifier >
< dc:identifier > 033144 </ dc:identifier >
< dc:language > eng </ dc:language >
< dc:relation > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ dc:relation >
< dc:relation > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dc:relation >
< dc:relation > Articles publicats (D-EM) </ dc:relation >
< dc:relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dc:relation >
< dc:relation > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ dc:relation >
< dc:relation > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ dc:relation >
< dc:relation > RTI2018-095518-B-C21 </ dc:relation >
< dc:rights > http://creativecommons.org/licenses/by/4.0/ </ dc:rights >
< dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
< dc:rights > Attribution 4.0 International </ dc:rights >
< dc:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dc:publisher >
</ qdc:qualifieddc >
<?xml version="1.0" encoding="UTF-8" ?>
< rdf:RDF schemaLocation =" http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd " >
< ow:Publication about =" oai:dugi-doc.udg.edu:10256/19511 " >
< dc:title > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ dc:title >
< dc:creator > Navarro-López, Carolina </ dc:creator >
< dc:creator > González Morcillo, Carlos </ dc:creator >
< dc:creator > Mulet-Forteza, Carles </ dc:creator >
< dc:creator > Linares Mustarós, Salvador </ dc:creator >
< dc:contributor > Agencia Estatal de Investigación </ dc:contributor >
< dc:subject > Bibliometria </ dc:subject >
< dc:subject > Bibliometrics </ dc:subject >
< dc:subject > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ dc:subject >
< dc:subject > Anàlisi multivariable </ dc:subject >
< dc:subject > Multivariate analysis </ dc:subject >
< dc:description > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ dc:description >
< dc:date > 2021-05-17T10:22:55Z </ dc:date >
< dc:date > 2021-05-17T10:22:55Z </ dc:date >
< dc:date > 2021-01 </ dc:date >
< dc:type > info:eu-repo/semantics/article </ dc:type >
< dc:identifier > 1026-597X </ dc:identifier >
< dc:identifier > http://hdl.handle.net/10256/19511 </ dc:identifier >
< dc:identifier > https://doi.org/10.17713/ajs.v50i2.1066 </ dc:identifier >
< dc:identifier > 033144 </ dc:identifier >
< dc:language > eng </ dc:language >
< dc:relation > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ dc:relation >
< dc:relation > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ dc:relation >
< dc:relation > Articles publicats (D-EM) </ dc:relation >
< dc:relation > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ dc:relation >
< dc:relation > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ dc:relation >
< dc:relation > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ dc:relation >
< dc:relation > RTI2018-095518-B-C21 </ dc:relation >
< dc:rights > http://creativecommons.org/licenses/by/4.0/ </ dc:rights >
< dc:rights > info:eu-repo/semantics/openAccess </ dc:rights >
< dc:rights > Attribution 4.0 International </ dc:rights >
< dc:publisher > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ dc:publisher >
</ ow:Publication >
</ rdf:RDF >
<?xml version="1.0" encoding="UTF-8" ?>
< metadata schemaLocation =" http://www.lyncode.com/xoai http://www.lyncode.com/xsd/xoai.xsd " >
< element name =" dc " >
< element name =" contributor " >
< element name =" author " >
< element name =" none " >
< field name =" value " > Navarro-López, Carolina </ field >
< field name =" value " > González Morcillo, Carlos </ field >
< field name =" value " > Mulet-Forteza, Carles </ field >
< field name =" value " > Linares Mustarós, Salvador </ field >
</ element >
</ element >
< element name =" funder " >
< element name =" none " >
< field name =" value " > Agencia Estatal de Investigación </ field >
</ element >
</ element >
</ element >
< element name =" date " >
< element name =" accessioned " >
< element name =" none " >
< field name =" value " > 2021-05-17T10:22:55Z </ field >
</ element >
</ element >
< element name =" available " >
< element name =" none " >
< field name =" value " > 2021-05-17T10:22:55Z </ field >
</ element >
</ element >
< element name =" issued " >
< element name =" none " >
< field name =" value " > 2021-01 </ field >
</ element >
</ element >
</ element >
< element name =" identifier " >
< element name =" issn " >
< element name =" none " >
< field name =" value " > 1026-597X </ field >
</ element >
</ element >
< element name =" uri " >
< element name =" none " >
< field name =" value " > http://hdl.handle.net/10256/19511 </ field >
</ element >
</ element >
< element name =" doi " >
< element name =" none " >
< field name =" value " > https://doi.org/10.17713/ajs.v50i2.1066 </ field >
</ element >
</ element >
< element name =" idgrec " >
< element name =" none " >
< field name =" value " > 033144 </ field >
</ element >
</ element >
</ element >
< element name =" description " >
< element name =" abstract " >
< element name =" none " >
< field name =" value " > This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world </ field >
</ element >
</ element >
< element name =" provenance " >
< element name =" none " >
< field name =" value " > Submitted by CLAUDIA PLANA (claudia.plana@udg.edu) on 2021-05-17T10:22:55Z No. of bitstreams: 2 license_rdf: 908 bytes, checksum: 0175ea4a2d4caec4bbcc37e300941108 (MD5) BibliometricAnalysis.pdf: 592292 bytes, checksum: 88232b7bfc8cf9c2693e91f053f83626 (MD5) </ field >
< field name =" value " > Made available in DSpace on 2021-05-17T10:22:55Z (GMT). No. of bitstreams: 2 license_rdf: 908 bytes, checksum: 0175ea4a2d4caec4bbcc37e300941108 (MD5) BibliometricAnalysis.pdf: 592292 bytes, checksum: 88232b7bfc8cf9c2693e91f053f83626 (MD5) Previous issue date: 2021-01 </ field >
</ element >
</ element >
< element name =" sponsorship " >
< element name =" none " >
< field name =" value " > The article was supported by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-095518-B-C21) </ field >
</ element >
</ element >
</ element >
< element name =" format " >
< element name =" mimetype " >
< element name =" none " >
< field name =" value " > application/pdf </ field >
</ element >
</ element >
</ element >
< element name =" language " >
< element name =" iso " >
< element name =" none " >
< field name =" value " > eng </ field >
</ element >
</ element >
</ element >
< element name =" publisher " >
< element name =" none " >
< field name =" value " > Österreichische Statistische Gesellschaft (Austrian Society for Statistics) </ field >
</ element >
</ element >
< element name =" relation " >
< element name =" none " >
< field name =" value " > RTI2018-095518-B-C21 </ field >
</ element >
< element name =" isformatof " >
< element name =" none " >
< field name =" value " > Reproducció digital del document publicat a: https://doi.org/10.17713/ajs.v50i2.1066 </ field >
</ element >
</ element >
< element name =" ispartof " >
< element name =" none " >
< field name =" value " > Austrian Journal of Statistics, 2021, vol. 50, núm. 2, p. 38-55 </ field >
</ element >
</ element >
< element name =" ispartofseries " >
< element name =" none " >
< field name =" value " > Articles publicats (D-EM) </ field >
</ element >
</ element >
< element name =" projectID " >
< element name =" none " >
< field name =" value " > info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/ </ field >
</ element >
</ element >
< element name =" FundingProgramme " >
< element name =" none " >
< field name =" value " > Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 </ field >
</ element >
</ element >
< element name =" ProjectAcronym " >
< element name =" none " >
< field name =" value " > METODOS DEL ANALISIS COMPOSICIONAL DE DATOS </ field >
</ element >
</ element >
</ element >
< element name =" rights " >
< element name =" none " >
< field name =" value " > Attribution 4.0 International </ field >
</ element >
< element name =" uri " >
< element name =" none " >
< field name =" value " > http://creativecommons.org/licenses/by/4.0/ </ field >
</ element >
</ element >
< element name =" accessRights " >
< element name =" none " >
< field name =" value " > info:eu-repo/semantics/openAccess </ field >
</ element >
</ element >
</ element >
< element name =" subject " >
< element name =" none " >
< field name =" value " > Bibliometria </ field >
< field name =" value " > Bibliometrics </ field >
< field name =" value " > Aitchison, J. (John), 1926- .The Statistical Analysis of Compositional Data </ field >
< field name =" value " > Anàlisi multivariable </ field >
< field name =" value " > Multivariate analysis </ field >
</ element >
</ element >
< element name =" title " >
< element name =" none " >
< field name =" value " > A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982) </ field >
</ element >
</ element >
< element name =" type " >
< element name =" none " >
< field name =" value " > info:eu-repo/semantics/article </ field >
</ element >
< element name =" version " >
< element name =" none " >
< field name =" value " > info:eu-repo/semantics/publishedVersion </ field >
</ element >
</ element >
< element name =" peerreviewed " >
< element name =" none " >
< field name =" value " > peer-reviewed </ field >
</ element >
</ element >
</ element >
</ element >
< element name =" adm " >
< element name =" sets " >
< element name =" hidden " >
< element name =" none " >
< field name =" value " > rc1 </ field >
</ element >
</ element >
</ element >
</ element >
< element name =" bundles " >
< element name =" bundle " >
< field name =" name " > LICENSE </ field >
< element name =" bitstreams " >
< element name =" bitstream " >
< field name =" name " > license.txt </ field >
< field name =" originalName " > license.txt </ field >
< field name =" format " > text/plain </ field >
< field name =" size " > 1748 </ field >
< field name =" url " > https://dugi-doc.udg.edu/bitstream/10256/19511/3/license.txt </ field >
< field name =" checksum " > 8a4605be74aa9ea9d79846c1fba20a33 </ field >
< field name =" checksumAlgorithm " > MD5 </ field >
< field name =" sid " > 3 </ field >
</ element >
</ element >
</ element >
< element name =" bundle " >
< field name =" name " > CC-LICENSE </ field >
< element name =" bitstreams " >
< element name =" bitstream " >
< field name =" name " > license_rdf </ field >
< field name =" originalName " > license_rdf </ field >
< field name =" format " > application/rdf+xml; charset=utf-8 </ field >
< field name =" size " > 908 </ field >
< field name =" url " > https://dugi-doc.udg.edu/bitstream/10256/19511/2/license_rdf </ field >
< field name =" checksum " > 0175ea4a2d4caec4bbcc37e300941108 </ field >
< field name =" checksumAlgorithm " > MD5 </ field >
< field name =" sid " > 2 </ field >
</ element >
</ element >
</ element >
< element name =" bundle " >
< field name =" name " > ORIGINAL </ field >
< element name =" bitstreams " >
< element name =" bitstream " >
< field name =" name " > BibliometricAnalysis.pdf </ field >
< field name =" originalName " > BibliometricAnalysis.pdf </ field >
< field name =" format " > application/pdf </ field >
< field name =" size " > 592292 </ field >
< field name =" url " > https://dugi-doc.udg.edu/bitstream/10256/19511/1/BibliometricAnalysis.pdf </ field >
< field name =" checksum " > 88232b7bfc8cf9c2693e91f053f83626 </ field >
< field name =" checksumAlgorithm " > MD5 </ field >
< field name =" sid " > 1 </ field >
</ element >
</ element >
</ element >
</ element >
< element name =" others " >
< field name =" handle " > 10256/19511 </ field >
< field name =" identifier " > oai:dugi-doc.udg.edu:10256/19511 </ field >
< field name =" lastModifyDate " > 2024-01-15 12:12:28.251 </ field >
</ element >
< element name =" repository " >
< field name =" name " > DUGiDocs </ field >
< field name =" mail " > oriol.olive@udg.edu </ field >
</ element >
< element name =" license " >
< field name =" bin " > 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 </ field >
</ element >
</ metadata >