On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications
Zohreh Zahedi, Stefanie Haustein

TL;DR
This large-scale study investigates how bibliographic features of scientific articles relate to citation and Mendeley readership counts, revealing that readership can complement citation analysis across various document types and disciplines.
Contribution
The paper provides the first large-scale analysis of the relationship between bibliographic characteristics, citations, and Mendeley readership across multiple fields.
Findings
Mendeley readership covers document types with low citation counts, like editorials and news.
Collaborative papers tend to have higher readership and citation counts.
Disciplinary differences influence the relationship between document features, citations, and readership.
Abstract
In this paper we present a first large-scale analysis of the relationship between Mendeley readership and citation counts with particular documents bibliographic characteristics. A data set of 1.3 million publications from different fields published in journals covered by the Web of Science (WoS) has been analyzed. This work reveals that document types that are often excluded from citation analysis due to their lower citation values, like editorial materials, letters, or news items, are strongly covered and saved in Mendeley, suggesting that Mendeley readership can reliably inform the analysis of these document types. Findings show that collaborative papers are frequently saved in Mendeley, which is similar to what is observed for citations. The relationship between readership and the length of titles and number of pages, however, is weaker than for the same relationship observed for…
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