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Characterization of the communities of attention interacting with scientific papers on Twitter: altmetric analysis of a Brazilian University

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  • João Melo Maricato

    (University of Brasilia)

  • Bruno Lara Castro Manso

    (University of Brasilia)

Abstract

This paper aims to understand the communities of attention about science on Twitter. Papers published by researchers at the University of Brasília, shared on Twitter, were identified. The profile of Twitter users who published the articles were classified into: type of profile (personal, institutional and character), profile category (social, academic and professional), occupation, field of work, geographical and institutional links. The output data mentioned on Twitter were downloaded from the Altmetric platform, and 3653 tweets that mentioned 877 papers from University of Brasília (UnB) underwent analysis. The data from users’ accounts to identify their typologies were extracted from Twitter profiles, 2437 of which required manual categorization. Among the main results, we highlight the predominance of individuals’ accounts in relation to those of organizations, with strong participation of members of academia; however, predominance of society in general in the posts stood out, with a relatively high presence of users who declare themselves as from the United States, as well as users linked to academic institutions, and also greater engagement of professionals in the area of Health Sciences and Medicine.

Suggested Citation

  • João Melo Maricato & Bruno Lara Castro Manso, 2022. "Characterization of the communities of attention interacting with scientific papers on Twitter: altmetric analysis of a Brazilian University," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3815-3835, July.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:7:d:10.1007_s11192-022-04442-2
    DOI: 10.1007/s11192-022-04442-2
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    References listed on IDEAS

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    1. Didegah, Fereshteh & Mejlgaard, Niels & Sørensen, Mads P., 2018. "Investigating the quality of interactions and public engagement around scientific papers on Twitter," Journal of Informetrics, Elsevier, vol. 12(3), pages 960-971.
    2. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    3. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    4. Richard Van Noorden, 2014. "Online collaboration: Scientists and the social network," Nature, Nature, vol. 512(7513), pages 126-129, August.
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