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dc.date.accessioned2024-04-05T15:41:24Z
dc.date.created2024-03-01T08:50:53Z
dc.date.issued2024
dc.identifier.citationPrati, Ronaldo C. Rodrigues, Bruno S. M. Aragão, Iberis Soares da Silva, Thereza Amelia Quiles, Marcos G. Da Silva, Juarez L. F. . The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. Journal of Chemical Information and Computer Sciences. 2023
dc.identifier.urihttp://hdl.handle.net/10852/110396
dc.description.abstractThere has been a growing recognition of the need for diversity and inclusion in scientific fields. This trend is reflected in the Journal of Chemical Information and Modeling (JCIM), where there has been a gradual increase in the number of papers that embrace this diversity. In this viewpoint, we analyze the evolution of the profile of papers published in JCIM from 1996 to 2022 addressing three diversity criteria, namely interdisciplinarity, geographic and gender distributions, and their impact on citation patterns. We used natural language processing tools for the classification of main areas and gender, as well as metadata, to analyze a total of 7384 articles published in the categories of research articles, reviews, and brief reports. Our analyses reveal that the relative number of articles and citation patterns are similar across the main areas within the scope of JCIM, and international collaboration and publications encompassing two to three research areas attract more citations. The percentage of female authors has increased from 1996 (less than 20%) to 2022 (more than 32%), indicating a positive trend toward gender diversity in almost all geographic regions, although the percentage of publications by single female authors remains lower than 20%. Most JCIM citations come from Europe and the Americas, with a tendency for JCIM papers to cite articles from the same continent. Furthermore, there is a correlation between the gender of the authors, as JCIM manuscripts authored by females are more likely to be cited by other JCIM manuscripts authored by females.
dc.languageEN
dc.titleThe Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling
dc.title.alternativeENEngelskEnglishThe Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling
dc.typeJournal article
dc.creator.authorPrati, Ronaldo C.
dc.creator.authorRodrigues, Bruno S. M.
dc.creator.authorAragão, Iberis
dc.creator.authorSoares da Silva, Thereza Amelia
dc.creator.authorQuiles, Marcos G.
dc.creator.authorDa Silva, Juarez L. F.
dc.date.embargoenddate2025-02-12
cristin.unitcode185,15,12,70
cristin.unitnameHylleraas-senteret
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin2251164
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Chemical Information and Computer Sciences&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleJournal of Chemical Information and Computer Sciences
dc.identifier.volume64
dc.identifier.issue4
dc.identifier.startpage1107
dc.identifier.endpage1111
dc.identifier.pagecount0
dc.identifier.doihttps://doi.org/10.1021/acs.jcim.3c02014
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0095-2338
dc.type.versionAcceptedVersion
dc.relation.projectNFR/262695


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