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In this paper we present a first large-scale analysis of the relationshipbetween Mendeley readership and citation counts with particular documentsbibliographic characteristics. A data set of 1.3 million publications fromdifferent fields published in journals covered by the Web of Science (WoS) hasbeen analyzed. This work reveals that document types that are often excludedfrom citation analysis due to their lower citation values, like editorialmaterials, letters, or news items, are strongly covered and saved in Mendeley,suggesting that Mendeley readership can reliably inform the analysis of thesedocument types. Findings show that collaborative papers are frequently saved inMendeley, which is similar to what is observed for citations. The relationshipbetween readership and the length of titles and number of pages, however, isweaker than for the same relationship observed for citations. The analysis ofdifferent disciplines also points to different patterns in the relationshipbetween several document characteristics, readership, and citation counts.Overall, results highlight that although disciplinary differences exist,readership counts are related to similar bibliographic characteristics as thoserelated to citation counts, reinforcing the idea that Mendeley readership andcitations capture a similar concept of impact, although they cannot beconsidered as equivalent indicators.

journal of informetrics

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