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The Sci-Hub effect on papers’ citations
- Source :
- The Lens
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Citations are often used as a metric of the impact of scientific publications. Here, we examine how the number of downloads from Sci-Hub as well as various characteristics of publications and their authors predicts future citations. Using data from 12 leading journals in economics, consumer research, neuroscience, and multidisciplinary research, we found that articles downloaded from Sci-Hub were cited 1.72 times more than papers not downloaded from Sci-Hub and that the number of downloads from Sci-Hub was a robust predictor of future citations. Among other characteristics of publications, the number of figures in a manuscript consistently predicts its future citations. The results suggest that limited access to publications may limit some scientific research from achieving its full impact. Refereed/Peer-reviewed
- Subjects :
- scientific impact
Computer science
knowledge dissemination
General Social Sciences
Consumer research
Library and Information Sciences
Data science
Computer Science Applications
Limited access
citations
Multidisciplinary approach
scholar consumption
Metric (unit)
Limit (mathematics)
Sci-Hub
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Subjects
Details
- ISSN :
- 15882861 and 01389130
- Volume :
- 127
- Database :
- OpenAIRE
- Journal :
- Scientometrics
- Accession number :
- edsair.doi.dedup.....0a375077ed2082a79d1e236c61424f5a
- Full Text :
- https://doi.org/10.1007/s11192-020-03806-w