Abstract
Bibliometric data have the potential to inform collection development, describe institutional scholarship strengths and citation patterns, and suggest potential areas of research collaboration. This article introduces methods of using data from citation databases to generate bibliometric analyses of journal titles, subject matter, and coauthorship networks using the open software tool Science of Science (Sci2). These analyses can be used to enhance responsive institutional and network collecting and to connect users to additional research and publication partners.
Original language | English (US) |
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Pages (from-to) | 239-245 |
Number of pages | 7 |
Journal | Serials Review |
Volume | 43 |
Issue number | 3-4 |
DOIs | |
State | Published - Oct 2 2017 |
Keywords
- bibliometric analysis
- citation networks
- network analysis
ASJC Scopus subject areas
- Library and Information Sciences