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- Dehdarirad, Tahereh,1984Chalmers tekniska högskola,Chalmers University of Technology (author)
Could early tweet counts predict later citation counts? A gender study in Life Sciences and Biomedicine (2014–2016)
- Article/chapterEnglish2020
Publisher, publication year, extent ...
- 2020-11-02
- Public Library of Science (PLoS),2020
- electronicrdacarrier
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- LIBRIS-ID:oai:research.chalmers.se:d0c35d78-913c-43c5-ad43-030dd8b63643
- https://research.chalmers.se/publication/520241URI
- https://doi.org/10.1371/journal.pone.0241723DOI
- https://research.chalmers.se/publication/520105URI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- 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, retrieved from Web of Science’s Medline. For each article, the number of received citations per year was downloaded from WOS, while the number of received tweets per year was obtained from PlumX. Using the hurdle regression model, I compared the number of received citations by female and male (first, last) authored papers and then I investigated whether early tweet counts could predict the later citation counts received by female and male (first, last) authored papers. In the regression models, I controlled for several important factors that were investigated in previous research in relation to citation counts, gender or Altmetrics. These included journal impact (SNIP), number of authors, open access, research funding, topic of an article, international collaboration, lay summary, F1000 Score and mega journal. The findings showed that the percentage of papers with male authors in first or last authorship positions was higher than that for female authors. However, female first and last-authored papers had a small but significant citation advantage of 4.7% and 5.5% compared to male-authored papers. The findings also showed that irrespective of whether the factors were included in regression models or not, early tweet counts had a weak positive and significant association with the later citations counts (3.3%) and the probability of a paper being cited (21.1%). Regarding gender, the findings showed that when all variables were controlled, female (first, last) authored papers had a small citation advantage of 3.7% and 4.2% in comparison to the male authored papers for the same number of tweets.
Subject headings and genre
- SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap Biblioteks- och informationsvetenskap hsv//swe
- SOCIAL SCIENCES Media and Communications Information Studies hsv//eng
- SAMHÄLLSVETENSKAP Medie- och kommunikationsvetenskap hsv//swe
- SOCIAL SCIENCES Media and Communications hsv//eng
- MEDICIN OCH HÄLSOVETENSKAP Hälsovetenskap hsv//swe
- MEDICAL AND HEALTH SCIENCES Health Sciences hsv//eng
- citation analysis
- Tweets
- Gender
- biomedicine and life sciences
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- Chalmers tekniska högskola (creator_code:org_t)
Related titles
- In:PLoS ONE: Public Library of Science (PLoS)15:111932-62031932-6203
Internet link
- https://research.chalmers.se/publication/520241/file/520241_Fulltext.pdfFULLTEXT
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0241723&type=printable
- https://research.chalmers.se/publication/520241
- https://doi.org/10.1371/journal.pone.0241723
- https://research.chalmers.se/publication/520105
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