Concept
Twitter promotion predicts citation rates of cardiovascular articles: a preliminary analysis from the ESC Journals Randomized Study data collection
- Collected a total of 696 cardiovascular articles from 12 of the 14 journals found in the ESC (European Society of Cardiology) Journals from March 2018 to May 2019 to be randomized
- Used Web of Science, Scopus, and Google Scholar to obtain the number of citations each article got and Altmetric score to collect the number of users tweeting those articles
- 534 papers were chosen to be in the experiment – 264 were randomly assigned to the Twitter group and the remaining 270 were assigned to the control group
- Articles in the Twitter group were tweeted approximately 28 days after they were published online
- 79% of the citations were retrieved from Web of Science, 9% from Scopus, 12% from Google Scholar
- Poisson regression model was used to determine correlation
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Updated 2021-02-15
Tags
CSCW (Computer-supported cooperative work)
Computing Sciences