Caracterização das comunidades de atenção que interagem com artigos científicos no Twitter: análise altmétrica dos artigos de uma universidade brasileira
| Main Authors: | Maricato, J. M., Castro-Manso, B.L |
|---|---|
| Format: | Preprint NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2022
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| Subjects: | |
| Online Access: |
http://eprints.rclis.org/43376/1/Artigo%20preprint%20em%20portugues.pdf http://eprints.rclis.org/43376/ |
Daftar Isi:
- 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.