Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data.

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 r

SUBMITTER: Bornmann L 

PROVIDER: S-EPMC5965816 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature