Exploring the Effectiveness of Related Article Search in PubMed
11 pages; PDF. July 2007.
by Jimmy Lin, Michael DiCuccio, Vahan Grigoryan, and W. John Wilbur

From the abstract:

We describe two complementary studies that explore the effectiveness of related article search in PubMed. The first attempts to characterize the topological properties of document networks that are implicitly defined by this capability. The second focuses on analysis of PubMed query logs to gain an understanding of real user behavior. Combined evidence suggests that related article search is both a useful and often exploited feature in PubMed. Keywords: biomedical domain, TREC genomics track, cluster hypothesis, visualization, log analysis

Source: Human-Computer Interaction Lab, University of Maryland

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