Bibliographic-Based Identification of Hot Future Research Topics: An Opportunity for Hospital Librarianship

Abstract

In response to the digital era revolution occurring toward the end of the millennium, libraries had to change their business models in order to deliver more advanced and smart services. Meanwhile, the knowledge doubling process encountered in the last century caused the exponential increase in the number of research publications. Consequently, it is impossible to read all the new published articles manually, and even harder to predict new research directions. Thus, identifying prospective research topics could be one of the smart services provided by the digital-era hospital library. A case of such service was implemented in this study, using bibliometric mapping. Two corpora concerning medical informatics harvested from PubMed database (one for the period 2014/15 and the other for 2016/17) were analyzed and compared. Based on the comparison possible hot future research topics were identified.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 45 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.