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.

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.

References

ARAUJO, R. F.; CARAN, G. M.; SOUZA, I. V. P. de. Orientação temática e coeficiente de correlação para análise comparativa entre dados altmétricos e citações: uma análise da revista DataGramaZero. Em Questão, Porto Alegre, v. 22, n. 3, p. 184–200, 2016. DOI: 10.19132/1808-5245223.184-200. Disponível em: https://seer.ufrgs.br/index.php/EmQuestao/article/view/61912. Acesso em: 20 abr. 2023. DOI: https://doi.org/10.19132/1808-5245223.184-200

ALHOORI, H.; FURUTA, R.; TABET, M.; SAMAKA, M.; FOX, E. A. Altmetrics for country-level research assessment. In: THE EMERGENCE OF DIGITAL LIBRARIES – RESEARCH AND PRACTICES. ICADL 2014. LECTURE NOTES IN COMPUTER SCIENCE [...] 2014, Switzerland. Proceedings [...]. Switzerland: Springer, Cham, 2014. p. 59-64. DOI: 10.1007/978-3-319-12823-8_7. Disponível em: https://link.springer.com/chapter/10.1007/978-3-319-12823-8_7. Acesso em: 5 out. 2022.

ALPERIN, J. P. Ask not what altmetrics can do for you, but what altmetrics can do for developing countries. Bulletin of the American Society for Information Science and Technology, [S. l.], v. 39, n. 4, p. 18-21, 2013. DOI: 10.1002/bult.2013.1720390407. DOI: https://doi.org/10.1002/bult.2013.1720390407

ALPERIN, J. P. Geographic variation in social media metrics: An analysis of Latin American journal articles. Aslib Journal of Information Management, [S. l.], v. 67, n. 3, p. 289-304, 2015. DOI: 10.1108/AJIM-12-2014-0176. Disponível em: https://www.semanticscholar.org/paper/Geographic-variation-in-social-media-metrics%3A-an-of-Alperin/a945459db5ce2d9162622ed1060f89c1e04db8c7. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.1108/AJIM-12-2014-0176

DEMACHKI, É.; MARICATO, J. M. Coverage of Data Sources and Correlations Between Altmetrics and Citation Indicators: The Case of a Brazilian Portal of Open Access Journals. Serials Review, [S. l.], p. 1-16, 2022. DOI: 10.1080/00987913.2022.2066967. DOI: https://doi.org/10.1080/00987913.2022.2066967

HAMMARFELT, B. Using altmetrics for assessing research impact in the humanities. Scientometrics, [S. l.], v. 101, n. 2, p. 1419-1430, 2014. Disponível em: DOI: 10.1007/s11192-014-1261-3. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.1007/s11192-014-1261-3

HAUSTEIN, J.; COSTAS, R.; LARIVIÈRE, V. Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns. PLoS ONE, [S. l.], v. 10, n. 3, 2015. DOI: doi.org/10.1371/journal.pone.0120495. DOI: https://doi.org/10.1371/journal.pone.0120495

HUANG, W.; WANG, P.; WU, Q. A correlation comparison between Altmetric Attention Scores and citations for six PLOS journals. PLoS ONE, [S. l.], v. 13, n. 4, p. 1-15, 2018. DOI: 10.1371/journal.pone.0194962. DOI: https://doi.org/10.1371/journal.pone.0194962

MAS-BLEDA, A.; THELWALL, M. Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research. Scientometrics, [S. l.], v. 109, n. 3, p. 2007-2030, 2016. DOI: 10.1007/s11192-016-2118-8. Disponível em: https://link.springer.com/article/10.1007/s11192-016-2118-8. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.1007/s11192-016-2118-8

MARTÍN-MARTÍN, A.; ORDUÑA-MALEA, E.; AYLLÓN, J. M.; LOPEZ-COZAR, E. D. The counting house: Measuring those who count. Presence of bibliometrics, scientometrics, informetrics, webometrics and altmetrics in the Google Scholar citations, Researcherid, ResearchGate, Mendeley & Twitter. arXiv preprint arXiv:1602.02412. 2016.

ORTEGA, J. L. Blogs and news sources coverage in altmetrics data providers: a comparative analysis by country, language, and subject. Scientometrics, [S. l.], v. 122, n. 1, p. 555-572, 2020. DOI: 10.1007/s11192-019-03299-2. Disponível em: https://doi.org/10.1007/s11192-019-03299-2. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.1007/s11192-019-03299-2

PONTES, P. N. P.; MARICATO, J. M.; SILVA, M. R. Correlações entre indicadores de citação e altmétricos: análise de artigos brasileiros com colaboração internacional. In: ENCONTRO BRASILEIRO DE BIBLIOMETRIA E CIENTOMETRIA, 9., 2022, Maceió. Anais [...]. Maceió: UFAL, 2022.

POWELL, A. G. M. T.; BEVAN, V.; BROWN, C.; LEWIS, W. G. Altmetric Versus Bibliometric Perspective Regarding Publication Impact and Force. World Journal of Surgery, [S. l.], v. 42, n. 9, p. 2745-2756, 2018. DOI: 10.1007/s00268-018-4579-9. Disponível em: https://doi.org/10.1007/s00268-018-4579-9. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.1007/s00268-018-4579-9

SEDIGHI, M. Assessing research impact based on altmetrics case study: Iranian scientific products in social sciences and computer science indexed in scopus. Iranian Journal of Information Processing and Management, [S. l.], v. 36, n. 3, p. 679-708, 2021. DOI: 10.52547/jipm.36.3.679. Disponível em: https://jipm.irandoc.ac.ir/browse.php?a_id=4390&slc_lang=en&sid=1&printcase=1&hbnr=1&hmb=1. Acesso em: 10 jan. 2022. DOI: https://doi.org/10.52547/jipm.36.3.679

SOUSA, Á. Coeficiente de Correlação de Pearson e Coeficiente de correlação de Spearman. O que medem e em que situações devem ser utilizados ? Correio dos Açores, [S. l.], v. 1, n. 1, p. 19, 2019. Disponível em: http://hdl.handle.net/10400.3/5365. Acesso em: 5 jan. 2022.

SPATTI, C.; CINTRA PAULO, R.; BIN, A.; FERREIRA ARAÚJO, R. Métricas alternativas para avaliação da produção científica latino-americana: um estudo da Rede Scielo. Informação & Informação, Londrina, v. 26, n. 2, p. 596-624, 2021. DOI: 10.5433/1981-8920.2020v26n2p596. Disponível em: http://www.uel.br/revistas/informacao/596. Acesso em: 5 jan. 2022. DOI: https://doi.org/10.5433/1981-8920.2021v26n2p596

THELWALL, M.; HAUSTEIN, S.; LARIVIÈRE, V.; SUGIMOTO, C. R. Do altmetrics work? Twitter and ten other social web services. PloS one, [S. l.], v. 8, n. 5, e64841, 2013. DOI: 10.1371/journal.pone.0064841 DOI: https://doi.org/10.1371/journal.pone.0064841

THELWALL, M. Mendeley reader counts for us computer science conference papers and journal articles. Quantitative Science Studies, [S. l.], v. 1, n. 1, p. 347-359, 2020. DOI: 10.1162/qss_a_00010. Disponível em: http://dx.doi.org/10.1162/qss_a_00010. Acesso em: 5 jan. 2022. DOI: https://doi.org/10.1162/qss_a_00010

TUNGER, D.; CLERMONT, M.; MEIER, A. Altmetrics: state of the art and a look into the future. IntechOpen, [S. l.], v. 32, n. tourism, p. 123-134, 2018. DOI: http://dx.doi.org/10.5772/intechopen.76874. Disponível em: https://www.intechopen.com/books/advanced-biometric-technologies/liveness-detection-in-biometrics. Acesso em: 5 jan. 2022. DOI: https://doi.org/10.5772/intechopen.76874