The altmetric performance of publications authored by Brazilian researchers: analysis of CNPq productivity scholarship holders
Ronaldo Ferreira Araujo, Marcelo Alves

TL;DR
This study analyzes the altmetric performance of Brazilian research publications authored by CNPq productivity scholarship holders, revealing that most articles have low online attention, but English-language articles in health sciences perform better on platforms like Mendeley and Twitter.
Contribution
It provides a detailed analysis of altmetric performance of Brazilian researchers' publications, highlighting language, field, and source differences in online attention.
Findings
Most articles have an altmetric score of zero.
English-language articles in health sciences perform better.
Mendeley and Twitter are the most effective sources for altmetric attention.
Abstract
The present work seeks to analyse the altmetric performance of Brazilian publications authored by researchers who are productivity scholarship holders (PQ) of the National Council of Scientific and Technological Development (CNPq). It was considered, within the scope of this research, the PQs in activity in October, 2017 (n = 14.609). The scientific production registered on Lattes was collected via GetLattesData and filtered by articles from academic journals published between 2016 and October 2017 that hold the Digital Object Identifier (n = 99064). The online attention data are analysed according to their distribution by density and variation; language of the publication and field of knowledge; and by average performance of the type of source that has provided its altmetric values. The density evidences the long tail behavior of the variable, with most part of the articles with…
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Taxonomy
Topicsscientometrics and bibliometrics research · Science and Science Education
