Mendeley使用手册-最新最全版.pdf

Networks of reader and country status:
An analysis of Mendeley reader statistics

Robin Haunschild*, Lutz Bornmann**, & Loet Leydesdorff***

* Max Planck Institute for Solid State Research
Heisenbergstr. 1,
70569 Stuttgart, Germany.
Email: R.******@

** Division for Science and Innovation Studies
Administrative Headquarters of the Max Planck Society
Hofgartenstr. 8,
80539 Munich, Germany.
Email: ******@

*** Amsterdam School of Communication Research (ASCoR)
University of Amsterdam
PO Box 15793
1001 NG Amsterdam, The Netherlands.
Email: ******@
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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 articles are considered only.
Sophisticated and compact bibliometric methods have to be applied in order to obtain an
overview. One popular method is a network-based 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 networks: (1) The network based on disciplinary affiliations points out similarities
of and differences in readerships of papers. (2) The status group network shows which status
groups (. students, lecturers, or professors) commonly read and bookmark papers. (3) The
country network focusses on global readership patterns: It visualizes similar and different
reading patterns of papers at the country level. With these networks we explore the usefulness of
readership data for networking