Your browser doesn't support javascript.
loading
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.
Prati, Ronaldo C; Rodrigues, Bruno S M; Aragão, Iberis; Soares, Thereza A; Quiles, Marcos G; Da Silva, Juarez L F.
Affiliation
  • Prati RC; Center for Mathematics, Computing and Cognition, Federal University of ABC (UFABC) Santo André, Sao Paulo 09210-580, Brazil.
  • Rodrigues BSM; Center for Mathematics, Computing and Cognition, Federal University of ABC (UFABC) Santo André, Sao Paulo 09210-580, Brazil.
  • Aragão I; Center for Mathematics, Computing and Cognition, Federal University of ABC (UFABC) Santo André, Sao Paulo 09210-580, Brazil.
  • Soares TA; Department of Chemistry, FFCLRP, Av. Bandeirantes, 3900, 14040-901, University of São Paulo Ribeirão Preto, Sao Paulo 14040-901, Brazil.
  • Quiles MG; Hylleraas Centre for Quantum Molecular Sciences, University of Oslo Oslo, N-0315, Norway.
  • Da Silva JLF; Department of Science and Technology, Federal University of São Paulo São José dos Campos, Sao Paulo12247-014, Brazil.
J Chem Inf Model ; 64(4): 1107-1111, 2024 02 26.
Article in En | MEDLINE | ID: mdl-38346241
ABSTRACT
There 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Models, Chemical Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Female / Humans Language: En Journal: J Chem Inf Model / J. chem. inf. model / Journal of chemical information and modeling Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Models, Chemical Type of study: Prognostic_studies Aspects: Determinantes_sociais_saude Limits: Female / Humans Language: En Journal: J Chem Inf Model / J. chem. inf. model / Journal of chemical information and modeling Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2024 Document type: Article Affiliation country: Country of publication: