On full text download and citation distributions in scientific-scholarly journals
Henk F. Moed, Gali Halevi

TL;DR
This study analyzes full text download and citation patterns across disciplines and journals, revealing significant differences, correlations, and potential reasons for disparities between usage and scholarly impact metrics.
Contribution
It provides a comprehensive statistical analysis of download and citation distributions, highlighting discipline-specific patterns and limitations of existing models.
Findings
Download counts are higher and less skewed than citations.
Correlation between downloads and citations varies across disciplines.
Top downloaded articles do not always coincide with top cited articles.
Abstract
A statistical analysis of full text downloads of articles in Elseviers ScienceDirect covering all disciplines reveals large differences in download frequencies, their skewness, and their correlation with Scopus-based citation counts, between disciplines, journals, and document types. Download counts tend to be two orders of magnitude higher and less skewedly distributed than citations. A mathematical model based on the sum of two exponentials does not adequately capture monthly download counts. The degree of correlation at the article level within a journal is similar to that at the journal level in the discipline covered by that journal, suggesting that the differences between journals are to a large extent discipline specific. Despite the fact that in all study journals download and citation counts per article positively correlate, little overlap may exist between the set of articles…
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Taxonomy
Topicsscientometrics and bibliometrics research · Academic Publishing and Open Access · Research Data Management Practices
