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Could early tweet counts predict later citation counts? A gender study in Life Sciences and Biomedicine (2014–2016)
In this study, it was investigated whether early tweets counts could differentially benefit female and male (first, last) authors in terms of the later citation counts received. The data for this study comprised 47,961 articles in the research area of Life Sciences & Biomedicine from 2014–2016,...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605688/ https://www.ncbi.nlm.nih.gov/pubmed/33137147 http://dx.doi.org/10.1371/journal.pone.0241723 |