A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research

[Objectives]: To investigate scientific collaboration and citation metrics of reporting guidelines for health research. [Study Design and Setting]: A cross-sectional analysis of published articles of reporting guidelines for health research. A search of the EQUATOR (Enhancing the QUAlity and Transpa...

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Detalhes bibliográficos
Autores: Catalá-López, Ferrán, Alonso-Arroyo, Adolfo, Page, Matthew J., Castelló-Cogollos, Lourdes, Hutton, Brian, Ridao, Manuel, Tabarés-Seisdedos, Rafael, Aleixandre-Benavent, Rafael, Moher, David
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/337881
Acesso em linha:http://hdl.handle.net/10261/337881
Access Level:acceso abierto
Palavra-chave:Bibliometrics
EQUATOR network
Evidence based medicine
Reporting guidelines
Research reporting
Scientific collaboration
Network analysis
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spelling A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health researchCatalá-López, FerránAlonso-Arroyo, AdolfoPage, Matthew J.Castelló-Cogollos, LourdesHutton, BrianRidao, ManuelTabarés-Seisdedos, RafaelAleixandre-Benavent, RafaelMoher, DavidBibliometricsEQUATOR networkEvidence based medicineReporting guidelinesResearch reportingScientific collaborationNetwork analysis[Objectives]: To investigate scientific collaboration and citation metrics of reporting guidelines for health research. [Study Design and Setting]: A cross-sectional analysis of published articles of reporting guidelines for health research. A search of the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network Library (from inception to January 21, 2021) was supplemented by searching websites of guideline developers. For each article, metadata (e.g., authors, institutions, countries, citations) were extracted from the Web of Science and Scopus (up to October 25, 2021). Descriptive analyses were conducted. Network analyses of collaborations were presented. [Results]: We included 662 articles published in 332 journals. The BMJ (n = 50 articles; 8%), Annals of Internal Medicine (n = 29; 4%), and Journal of Clinical Epidemiology (n = 24; 4%) published the largest number of articles. Four thousand seven hundred twenty two authors, 1,647 institutions, and 83 countries were involved. The global productivity was led by the United States (n = 456 articles), the United Kingdom (n = 414), and Canada (n = 306). We found eight clusters of authors (e.g., one major group with 337 members) and three clusters of institutions (e.g., one major group with 256 members). The most prolific authors were affiliated with the Ottawa Hospital Research Institute (Canada), the University of Ottawa (Canada), the University of Oxford (the United Kingdom), and Stanford University (the United States). [Conclusion]: Our analysis identified key actors producing reporting guidelines, most intense collaborations, and ‘citation classics’ in the field. These results could potentially be used to strengthen collaborations for developing and disseminating reporting guidelines for health research.Peer reviewedElsevierConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2023202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10261/337881reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publisher platform at 10.1016/j.jclinepi.2023.02.001http://dx.doi.org/10.1016/j.jclinepi.2023.02.001Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3378812026-05-22T06:33:51Z
dc.title.none.fl_str_mv A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
title A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
spellingShingle A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
Catalá-López, Ferrán
Bibliometrics
EQUATOR network
Evidence based medicine
Reporting guidelines
Research reporting
Scientific collaboration
Network analysis
title_short A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
title_full A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
title_fullStr A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
title_full_unstemmed A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
title_sort A cross-sectional analysis identified co-authorship networks and scientific collaboration on reporting guidelines for health research
dc.creator.none.fl_str_mv Catalá-López, Ferrán
Alonso-Arroyo, Adolfo
Page, Matthew J.
Castelló-Cogollos, Lourdes
Hutton, Brian
Ridao, Manuel
Tabarés-Seisdedos, Rafael
Aleixandre-Benavent, Rafael
Moher, David
author Catalá-López, Ferrán
author_facet Catalá-López, Ferrán
Alonso-Arroyo, Adolfo
Page, Matthew J.
Castelló-Cogollos, Lourdes
Hutton, Brian
Ridao, Manuel
Tabarés-Seisdedos, Rafael
Aleixandre-Benavent, Rafael
Moher, David
author_role author
author2 Alonso-Arroyo, Adolfo
Page, Matthew J.
Castelló-Cogollos, Lourdes
Hutton, Brian
Ridao, Manuel
Tabarés-Seisdedos, Rafael
Aleixandre-Benavent, Rafael
Moher, David
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Bibliometrics
EQUATOR network
Evidence based medicine
Reporting guidelines
Research reporting
Scientific collaboration
Network analysis
topic Bibliometrics
EQUATOR network
Evidence based medicine
Reporting guidelines
Research reporting
Scientific collaboration
Network analysis
description [Objectives]: To investigate scientific collaboration and citation metrics of reporting guidelines for health research. [Study Design and Setting]: A cross-sectional analysis of published articles of reporting guidelines for health research. A search of the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network Library (from inception to January 21, 2021) was supplemented by searching websites of guideline developers. For each article, metadata (e.g., authors, institutions, countries, citations) were extracted from the Web of Science and Scopus (up to October 25, 2021). Descriptive analyses were conducted. Network analyses of collaborations were presented. [Results]: We included 662 articles published in 332 journals. The BMJ (n = 50 articles; 8%), Annals of Internal Medicine (n = 29; 4%), and Journal of Clinical Epidemiology (n = 24; 4%) published the largest number of articles. Four thousand seven hundred twenty two authors, 1,647 institutions, and 83 countries were involved. The global productivity was led by the United States (n = 456 articles), the United Kingdom (n = 414), and Canada (n = 306). We found eight clusters of authors (e.g., one major group with 337 members) and three clusters of institutions (e.g., one major group with 256 members). The most prolific authors were affiliated with the Ottawa Hospital Research Institute (Canada), the University of Ottawa (Canada), the University of Oxford (the United Kingdom), and Stanford University (the United States). [Conclusion]: Our analysis identified key actors producing reporting guidelines, most intense collaborations, and ‘citation classics’ in the field. These results could potentially be used to strengthen collaborations for developing and disseminating reporting guidelines for health research.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/337881
url http://hdl.handle.net/10261/337881
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The underlying dataset has been published as supplementary material of the article in the publisher platform at 10.1016/j.jclinepi.2023.02.001
http://dx.doi.org/10.1016/j.jclinepi.2023.02.001
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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