A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies

Autores
Wang, Haohan; Sterli, Juliana; Dupret, Vincent; Blom, Henning; Berta, Annalisa; Turner, Susan; Han, Daoming; Xu, Luyan; Pan, Zhaohui
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Using 12 104 publications from 2014 to 2023 in the DeepBone database, this study employs bibliometric methods, including full-text latent Dirichlet allocation (LDA) modelling, co-occurrence network analysis and geographic mapping with ArcGIS, to examine three key aspects of vertebrate palaeontology development: geographic distribution of newly established taxa, gender demographics among researchers and research trends. Gender data were analysed using automated tools with manual verification to ensure accuracy, while methodological evolution was investigated through systematic text mining and classification. Among 8336 newly established taxa, mammals (34.72%) and fishes (29.76%) dominate, followed by reptiles (25.34%), birds (7.39%) and amphibians (2.80%). Geographic analysis reveals significant regional disparities, with the USA (13.50%) and China (13.32%)contributing the most, while Africa and Oceania remain under-represented (less than 10%). Genderanalysis indicates a gradual increase in female representation from 22.78 to 27.20% over thedecade, highlighting the imperative to address gender disparities in vertebrate palaeontology,thereby advancing equity in alignment with UNESCO Sustainable Development Goal 5. LDA topicmodelling identifies 15 distinct research topics, encompassing evolutionary biology, cranial andskeletal morphology, dinosaur–bird evolution and human evolution, while co-occurrence analysishighlights the evolution of research methodologies, revealing strong interconnections betweenphylogenetic analysis (15%), traditional morphological analysis (12%) and high-resolution imagingtechniques (9%).
Fil: Wang, Haohan. Qujing Normal University; China
Fil: Sterli, Juliana. Museo Paleontológico Egidio Feruglio; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dupret, Vincent. Uppsala Universitet; Suecia
Fil: Blom, Henning. Uppsala Universitet; Suecia
Fil: Berta, Annalisa. San Diego State University; Estados Unidos
Fil: Turner, Susan. Queensland Museum; Australia
Fil: Han, Daoming. Qujing Normal University; China
Fil: Xu, Luyan. Qujing Normal University; China
Fil: Pan, Zhaohui. Chinese Academy of Sciences; República de China
Materia
VERTEBRATE PALAEONTOLOGY
BIBLIOMETRIC ANALYSIS
GENDER GAP
METHODOLOGICAL EVOLUTION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/276618
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/276618
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologiesWang, HaohanSterli, JulianaDupret, VincentBlom, HenningBerta, AnnalisaTurner, SusanHan, DaomingXu, LuyanPan, ZhaohuiVERTEBRATE PALAEONTOLOGYBIBLIOMETRIC ANALYSISGENDER GAPMETHODOLOGICAL EVOLUTIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Using 12 104 publications from 2014 to 2023 in the DeepBone database, this study employs bibliometric methods, including full-text latent Dirichlet allocation (LDA) modelling, co-occurrence network analysis and geographic mapping with ArcGIS, to examine three key aspects of vertebrate palaeontology development: geographic distribution of newly established taxa, gender demographics among researchers and research trends. Gender data were analysed using automated tools with manual verification to ensure accuracy, while methodological evolution was investigated through systematic text mining and classification. Among 8336 newly established taxa, mammals (34.72%) and fishes (29.76%) dominate, followed by reptiles (25.34%), birds (7.39%) and amphibians (2.80%). Geographic analysis reveals significant regional disparities, with the USA (13.50%) and China (13.32%)contributing the most, while Africa and Oceania remain under-represented (less than 10%). Genderanalysis indicates a gradual increase in female representation from 22.78 to 27.20% over thedecade, highlighting the imperative to address gender disparities in vertebrate palaeontology,thereby advancing equity in alignment with UNESCO Sustainable Development Goal 5. LDA topicmodelling identifies 15 distinct research topics, encompassing evolutionary biology, cranial andskeletal morphology, dinosaur–bird evolution and human evolution, while co-occurrence analysishighlights the evolution of research methodologies, revealing strong interconnections betweenphylogenetic analysis (15%), traditional morphological analysis (12%) and high-resolution imagingtechniques (9%).Fil: Wang, Haohan. Qujing Normal University; ChinaFil: Sterli, Juliana. Museo Paleontológico Egidio Feruglio; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dupret, Vincent. Uppsala Universitet; SueciaFil: Blom, Henning. Uppsala Universitet; SueciaFil: Berta, Annalisa. San Diego State University; Estados UnidosFil: Turner, Susan. Queensland Museum; AustraliaFil: Han, Daoming. Qujing Normal University; ChinaFil: Xu, Luyan. Qujing Normal University; ChinaFil: Pan, Zhaohui. Chinese Academy of Sciences; República de ChinaRoyal Society of Chemistry2025-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/276618Wang, Haohan; Sterli, Juliana; Dupret, Vincent; Blom, Henning; Berta, Annalisa; et al.; A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies; Royal Society of Chemistry; Royal Society Open Science; 12; 5; 5-2025; 1-192054-5703CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://royalsocietypublishing.org/doi/10.1098/rsos.250263info:eu-repo/semantics/altIdentifier/doi/10.1098/rsos.250263info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T14:58:31Zoai:ri.conicet.gov.ar:11336/276618instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-23 14:58:31.496CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
title A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
spellingShingle A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
Wang, Haohan
VERTEBRATE PALAEONTOLOGY
BIBLIOMETRIC ANALYSIS
GENDER GAP
METHODOLOGICAL EVOLUTION
title_short A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
title_full A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
title_fullStr A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
title_full_unstemmed A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
title_sort A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies
dc.creator.none.fl_str_mv Wang, Haohan
Sterli, Juliana
Dupret, Vincent
Blom, Henning
Berta, Annalisa
Turner, Susan
Han, Daoming
Xu, Luyan
Pan, Zhaohui
author Wang, Haohan
author_facet Wang, Haohan
Sterli, Juliana
Dupret, Vincent
Blom, Henning
Berta, Annalisa
Turner, Susan
Han, Daoming
Xu, Luyan
Pan, Zhaohui
author_role author
author2 Sterli, Juliana
Dupret, Vincent
Blom, Henning
Berta, Annalisa
Turner, Susan
Han, Daoming
Xu, Luyan
Pan, Zhaohui
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv VERTEBRATE PALAEONTOLOGY
BIBLIOMETRIC ANALYSIS
GENDER GAP
METHODOLOGICAL EVOLUTION
topic VERTEBRATE PALAEONTOLOGY
BIBLIOMETRIC ANALYSIS
GENDER GAP
METHODOLOGICAL EVOLUTION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Using 12 104 publications from 2014 to 2023 in the DeepBone database, this study employs bibliometric methods, including full-text latent Dirichlet allocation (LDA) modelling, co-occurrence network analysis and geographic mapping with ArcGIS, to examine three key aspects of vertebrate palaeontology development: geographic distribution of newly established taxa, gender demographics among researchers and research trends. Gender data were analysed using automated tools with manual verification to ensure accuracy, while methodological evolution was investigated through systematic text mining and classification. Among 8336 newly established taxa, mammals (34.72%) and fishes (29.76%) dominate, followed by reptiles (25.34%), birds (7.39%) and amphibians (2.80%). Geographic analysis reveals significant regional disparities, with the USA (13.50%) and China (13.32%)contributing the most, while Africa and Oceania remain under-represented (less than 10%). Genderanalysis indicates a gradual increase in female representation from 22.78 to 27.20% over thedecade, highlighting the imperative to address gender disparities in vertebrate palaeontology,thereby advancing equity in alignment with UNESCO Sustainable Development Goal 5. LDA topicmodelling identifies 15 distinct research topics, encompassing evolutionary biology, cranial andskeletal morphology, dinosaur–bird evolution and human evolution, while co-occurrence analysishighlights the evolution of research methodologies, revealing strong interconnections betweenphylogenetic analysis (15%), traditional morphological analysis (12%) and high-resolution imagingtechniques (9%).
Fil: Wang, Haohan. Qujing Normal University; China
Fil: Sterli, Juliana. Museo Paleontológico Egidio Feruglio; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dupret, Vincent. Uppsala Universitet; Suecia
Fil: Blom, Henning. Uppsala Universitet; Suecia
Fil: Berta, Annalisa. San Diego State University; Estados Unidos
Fil: Turner, Susan. Queensland Museum; Australia
Fil: Han, Daoming. Qujing Normal University; China
Fil: Xu, Luyan. Qujing Normal University; China
Fil: Pan, Zhaohui. Chinese Academy of Sciences; República de China
description Using 12 104 publications from 2014 to 2023 in the DeepBone database, this study employs bibliometric methods, including full-text latent Dirichlet allocation (LDA) modelling, co-occurrence network analysis and geographic mapping with ArcGIS, to examine three key aspects of vertebrate palaeontology development: geographic distribution of newly established taxa, gender demographics among researchers and research trends. Gender data were analysed using automated tools with manual verification to ensure accuracy, while methodological evolution was investigated through systematic text mining and classification. Among 8336 newly established taxa, mammals (34.72%) and fishes (29.76%) dominate, followed by reptiles (25.34%), birds (7.39%) and amphibians (2.80%). Geographic analysis reveals significant regional disparities, with the USA (13.50%) and China (13.32%)contributing the most, while Africa and Oceania remain under-represented (less than 10%). Genderanalysis indicates a gradual increase in female representation from 22.78 to 27.20% over thedecade, highlighting the imperative to address gender disparities in vertebrate palaeontology,thereby advancing equity in alignment with UNESCO Sustainable Development Goal 5. LDA topicmodelling identifies 15 distinct research topics, encompassing evolutionary biology, cranial andskeletal morphology, dinosaur–bird evolution and human evolution, while co-occurrence analysishighlights the evolution of research methodologies, revealing strong interconnections betweenphylogenetic analysis (15%), traditional morphological analysis (12%) and high-resolution imagingtechniques (9%).
publishDate 2025
dc.date.none.fl_str_mv 2025-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/276618
Wang, Haohan; Sterli, Juliana; Dupret, Vincent; Blom, Henning; Berta, Annalisa; et al.; A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies; Royal Society of Chemistry; Royal Society Open Science; 12; 5; 5-2025; 1-19
2054-5703
CONICET Digital
CONICET
url http://hdl.handle.net/11336/276618
identifier_str_mv Wang, Haohan; Sterli, Juliana; Dupret, Vincent; Blom, Henning; Berta, Annalisa; et al.; A decade of vertebrate palaeontology research: global taxa distribution, gender dynamics and evolving methodologies; Royal Society of Chemistry; Royal Society Open Science; 12; 5; 5-2025; 1-19
2054-5703
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://royalsocietypublishing.org/doi/10.1098/rsos.250263
info:eu-repo/semantics/altIdentifier/doi/10.1098/rsos.250263
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.952241

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