Abstract
An analysis of article-level metrics of 27,856 PLOS ONE articles reveals that the number of tweets was weakly associated with the number of citations (β = 0.10), and weakly negatively associated with citations when the number of article views was held constant (β = −0.06). The number of tweets was predictive of other social media activity (β = 0.34 for Mendeley and β = 0.41 for Facebook), but not of the number of article views on PubMed Central (β = 0.01). It is concluded that the scientific citation process acts relatively independently of the social dynamics on Twitter.
| Original language | English |
|---|---|
| Pages (from-to) | 1773-1779 |
| Number of pages | 7 |
| Journal | Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy |
| Volume | 102 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2015 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.