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

摘要: The number of papers published in journals indexed by the Web Science core collection is steadily increasing. In recent years, nearly two million new were each year; somewhat more than one when primary research are considered only (articles and reviews document types where usually reported or reviewed). However, who reads these papers? More precisely, which groups researchers from (self-assigned) scientific disciplines countries reading Is it possible to visualize readership patterns for certain countries, disciplines, academic status groups? One popular method answer questions a network analysis. this study, we analyze Mendeley data set 1,133,224 articles 64,960 with publication year 2012 generate three different networks: (1) based on disciplinary affiliations readers contains four groups: (i) biology, (ii) social sciences humanities (including relevant computer sciences), (iii) bio-medical sciences, (iv) natural engineering. all groups, category addition "miscellaneous" prevails. (2) co-readers terms professional shows that common interest mainly shared among PhD students, Master’s postdocs. (3) country focusses global patterns: group 53 nations identified as enterprise, including Russia China well thirds OECD (Organisation Economic Co-operation Development) countries.