The relationship between usage and citations in an open access mega journal
Barbara McGillivray (The Alan Turing Institute, University of, Cambridge), Mathias Astell (Hindawi Limited)

TL;DR
This study investigates how early usage and subject area influence citation counts in the open access journal Scientific Reports, revealing moderate correlations and early usage's impact on citation timing and volume.
Contribution
It provides empirical analysis of usage-citation relationships across disciplines in a large open access journal, highlighting early usage as a predictor of citation impact.
Findings
Moderate correlation between early usage and subsequent citations
Early high usage linked to earlier and higher citations
Differences observed across scientific subjects
Abstract
How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to answer this question through an observational study of usage and citation data collected about the multidisciplinary, open access mega-journal Scientific Reports. This observational study answers these questions using the following methods: an overlap analysis of most read and top-cited articles; Spearman correlation tests between total citation counts over two years and usage over various timeframes; a comparison of first months of citation for most read and all articles; a Wilcoxon test on the distribution of total citations of early cited articles and the distribution of total citations of all other articles. All analyses were performed using the programming language R. As Scientific Reports is a multidisciplinary journal covering…
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