Networks of reader and country status: An analysis of Mendeley reader statistics
Robin Haunschild, Lutz Bornmann, and Loet Leydesdorff

TL;DR
This study uses network analysis of Mendeley readership data from over a million articles to visualize global, disciplinary, and professional status readership patterns, revealing core countries and disciplinary groups.
Contribution
It introduces a comprehensive network analysis of Mendeley readership data, highlighting disciplinary, professional, and country-based readership structures in scientific literature.
Findings
Four disciplinary groups identified with prevalent 'miscellaneous' category.
Mainly PhD students, Master's students, and postdocs share interests.
Core readership includes 53 nations, notably Russia, China, and many OECD countries.
Abstract
The number of papers published in journals indexed by the Web of Science core collection is steadily increasing. In recent years, nearly two million new papers were published each year; somewhat more than one million papers when primary research papers are considered only (articles and reviews are the document types where primary research is usually reported or reviewed). However, who reads these papers? More precisely, which groups of researchers from which (self-assigned) scientific disciplines and countries are reading these papers? Is it possible to visualize readership patterns for certain countries, scientific disciplines, or academic status groups? One popular method to answer these questions is a network analysis. In this study, we analyze Mendeley readership data of a set of 1,133,224 articles and 64,960 reviews with publication year 2012 to generate three different kinds of…
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