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Facing tightened budgets, librarians strive to ensure that library collections remain relevant to the evolving needs of users. For STEM librarians, the task of selecting and deselecting journal subscriptions presents unique challenges due to the rapid launches of new journals and fast advancements at research frontiers. Thus, it is crucial to identify the journal titles that are most valuable for the researchers the library supports. This presentation aims to introduce a co-citation journal assessment method that can help librarians identify indispensable journal titles for their collections. The method utilizes VOSviewer, a freely available bibliometric visualization application, to construct a journal co-citation network based on the bibliographic data of the publications from the researchers under investigation. The resulting network provides a clear picture of research interactions, with journal sizes reflecting their citation counts and colors representing research domains. By analyzing co-citation patterns, librarians can determine the journal titles that are most frequently cited by the researchers. Furthermore, the publication data required for this analysis can be gathered from a research database to which the library already has a subscription, eliminating the need for any additional costs. During the session, we will cover the scientific roots of co-citation analysis and provide a step-by-step guide to conducting a co-citation journal analysis, from gathering data to generating a meaningful visualization network. We will also address major issues that may impact the analysis. By the end of the presentation, participants will be able to conduct their own co-citation journal analysis using VOSviewer. |
