title: Use of a MeSH-based index of faculty research interests to identify faculty publications: an IAIMSian study of precision, recall, and data reusability.
abstract: OBJECTIVE
  To determine whether MEDLINE searches based on an existing automated faculty research interest index or on author name entities can be used to automate construction of accurate online lists of faculty publications.
  
  
  METHODS
  Curricula vitae (CVs) for 36 faculty members were selected at random. Their lists of journal publications were used to determine recall and precision of two MEDLINE search strategies.
  
  
  RESULTS
  Most faculty publications in the CVs (86%) were indexed in MEDLINE. The research-interest-enhanced MEDLINE searches retrieved citations in the CVs that were also in MEDLINE with a recall of 0.53 and precision of 0.85. For every 10 citations in the research interest-enhanced search, on average 8.5 were in the CVs. The name entity searches retrieved a higher proportion of citations in the CVs (recall 0.94, precision 0.59) with a higher rate of citations not in the CVs: For every 10 citations in the faculty name searches, 7.3 citations were in the CVs. Name commonness or clinical or basic sciences appointment did not change these results.
  
  
  CONCLUSIONS
  MEDLINE searches, especially those based on research interests, can be used to populate faculty publication lists with high rates of accuracy. Author based searches can also be used, but they retrieve a higher proportion of irrelevant citations. This study confirms a successful instance of data reusability and integration at a large health academic sciences institution.
authors.affiliation: Center for Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: K Ann
authors.initials: KA
authors.lastname: McKibbon
authors.forename: Patricia W
authors.initials: PW
authors.lastname: Friedman
authors.forename: Charles P
authors.initials: CP
authors.lastname: Friedman
mesh_terms: D000043:Abstracting and Indexing; D001319:Authorship; D016206:Databases, Bibliographic; D005178:Faculty; D016490:Integrated Advanced Information Management Systems; D016239:MEDLINE; D010414:Pennsylvania; D011642:Publications / Q000145:classification*; D012106:Research / Q000145:classification*; D012576:Schools, Health Occupations; D013358:Subject Headings