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Overlay maps based on M endeley data: The use of altmetrics for readership networks
Author(s) -
Bornmann Lutz,
Haunschild Robin
Publication year - 2016
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23569
Subject(s) - computer science , altmetrics , overlay , base (topology) , information retrieval , visualization , audience measurement , web page , overlay network , scientometrics , data science , world wide web , data mining , the internet , mathematical analysis , mathematics , political science , law , programming language
Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for M endeley reader count data using the publication year 2012 from the Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOS Viewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that it is not necessary for the user to produce a network based on all data (e.g., from 1 year), but can collect the M endeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large‐scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.