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Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data
- Source :
- PLoS ONE, Vol 13, Iss 5, p e0197133 (2018), PLoS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- In this study, we address the question whether (and to what extent, respectively) altmetrics are related to the scientific quality of papers (as measured by peer assessments). Only a few studies have previously investigated the relationship between altmetrics and assessments by peers. In the first step, we analyse the underlying dimensions of measurement for traditional metrics (citation counts) and altmetrics - by using principal component analysis (PCA) and factor analysis (FA). In the second step, we test the relationship between the dimensions and quality of papers (as measured by the post-publication peer-review system of F1000Prime assessments) - using regression analysis. The results of the PCA and FA show that altmetrics operate along different dimensions, whereas Mendeley counts are related to citation counts, and tweets form a separate dimension. The results of the regression analysis indicate that citation-based metrics and readership counts are significantly more related to quality, than tweets. This result on the one hand questions the use of Twitter counts for research evaluation purposes and on the other hand indicates potential use of Mendeley reader counts.
- Subjects :
- FOS: Computer and information sciences
Research Quality Assessment
Social Sciences
lcsh:Medicine
Empirical Research
Mathematical and Statistical Techniques
Empirical research
Sociology
Citation analysis
Statistics
Digital Libraries (cs.DL)
Dimension (data warehouse)
lcsh:Science
Mathematics
Principal Component Analysis
Multidisciplinary
05 social sciences
Social Communication
Computer Science - Digital Libraries
Regression analysis
Research Assessment
Social Networks
Physical Sciences
Citation Analysis
Principal component analysis
Regression Analysis
Journal Impact Factor
050904 information & library sciences
Factor Analysis
Statistics (Mathematics)
Network Analysis
Research Article
Computer and Information Sciences
Twitter
Bibliometrics
Research and Analysis Methods
050905 science studies
Peer Group
Humans
Statistical Methods
Altmetrics
lcsh:R
Communications
Multivariate Analysis
lcsh:Q
0509 other social sciences
Citation
Social Media
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....d35711423b4703fbedad57523990ab20