Altmetrics of open access brazilian journal articles in ScienceOpen: the reason for mentions
DOI:
https://doi.org/10.29397/reciis.v11i0.1376Keywords:
altmetrics, mention analysis, open access, ScienceOpen.Abstract
This study aims to contribute to a debate about qualitative studies in the field of altmetrics applying the analysis of mentions of Araújo and Furnival (2016) to a set of articles of open access journals present in ScienceOpen of the SciELO Brazil Collection. We identified 1,976 altmetric data from articles published between 2001 and 2015. Most of the data generated came from Twitter (68.9%), followed by Facebook (18.4%) and Mendeley (12.3%). The mentions are distributed according to their informative content (55.1%) and conversational (44.9%) aspects, with predominantly simple sharing (57.5%), followed by explanatory comments (17.4%), and of exortative narratives (15.8%). Messages that criticize or problematize articles have not been registered. We conclude that due to the few studies on the subject it is necessary to invest in proposals that consider the analysis of the mentions to understand the nuances of the circulation of scientific information in the social web and its perspectives.
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