Indicadores de citação e altmétricos em nível de países e idiomas: análise em publicações brasileiras com colaboração internacional

Danielle Pompeu Noronha Pontes; João de Melo Maricato; Márcia Regina da Silva

doi:10.5433/1981-8920.2022v27n3p450

Authors

Danielle Pompeu Noronha Pontes Universidade do Estado do Amazonas https://orcid.org/0000-0003-0036-6638
João University of Brasília (UNB) https://orcid.org/0000-0001-9162-6866
Márcia University of São Paulo, Faculty of Philosophy Sciences and Letters of Ribeirão Preto https://orcid.org/0000-0001-5852-1026

DOI:

https://doi.org/10.5433/1981-8920.2022v27n3p450

Keywords:

Altmetry, Correlation, Bibliometrics, Citation

Abstract

Objective: Investigates citation and altmetric indicators in relation to countries and languages.
Methodology: This is a descriptive study that uses altmetric and citation indicators to analyze correlations between them. Data from 1,473 publications extracted from the Scopus database (2013-2022) that contained authors affiliated with Brazil in co-authorship with authors from other countries were analyzed.
Results: It was found that the highest correlations are between citation indicators (Crossref/Scopus). The media with the highest correlation with citation indicators was Mendeley. In general, there is a similar correlation between the indicators in terms of countries, one of the exceptions being the indicators of Brazilian documents published in collaboration with Colombia. With regard to language, the highest correlations are from the indicators of works in English, one of the exceptions being bilingual publications written in Portuguese and English, which presented greater correlations between Scopus/Twitter and publications in Spanish that presented a greater correlation between Mendeley /Twitter.
Conclusions: In general, there is a pattern in the correlations between citations and altmetric indicators according to the countries that published in international collaboration with Brazil. The high correlation between the Scopus and Crossref databases stands out, which indicates that the sources are largely compatible and that they have similar evaluative potential.

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Author Biographies

Danielle Pompeu Noronha Pontes, Universidade do Estado do Amazonas

PhD student in Information Sciences at the Universidade de Brasília (UnB). Professor at the Universidade do Estado do Amazonas (UEA), Manaus, Brazil

João, University of Brasília (UNB)

PhD in Information Science from the Escola de Comunicações e Artes da Universidade de São Paulo (ECA/USP). Professor at the Faculdade de Ciências da Informação (FCI) at the Universidade de Brasília (UnB), Brasília, Brazil

Márcia, University of São Paulo, Faculty of Philosophy Sciences and Letters of Ribeirão Preto

PhD in Education from the Universidade Federal de São Carlos (UFSCar). Professor at the Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (USP), São Paulo, Brazil.

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