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Related Experiment Videos

Updating a bibliography using the related articles function within PubMed

X Liu1, R B Altman

  • 1Stanford Medical Informatics, Stanford University Medical Center, CA 94305-5479, USA. xliu@smi.stanford.edu

Proceedings. AMIA Symposium
|February 3, 1999
PubMed
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This study introduces a program to automatically update bibliographies using PubMed's RELATED ARTICLES function. The system effectively identifies relevant scientific literature, aiding researchers in literature reviews and field progress assessment.

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Scientific Literature Management

Background:

  • Maintaining comprehensive bibliographies is challenging due to the vast and complex scientific literature.
  • Automated tools are needed to efficiently retrieve relevant research articles.
  • The PubMed RELATED ARTICLES function offers a statistical approach to literature discovery.

Purpose of the Study:

  • To develop and evaluate a program for incremental bibliography updates using the PubMed RELATED ARTICLES function.
  • To assess the effectiveness of this automated approach for a specialized research area.

Main Methods:

  • A specialized bibliography of 30S bacterial ribosomal subunit structure measurements was used as a starting point.
  • The PubMed RELATED ARTICLES function was employed to identify additional relevant references.

Related Experiment Videos

  • The program was designed for incremental updates to manage literature growth.

    • Main Results:

    • The system achieved a recall of 75% and a strict precision of 32% (partial precision of 42%) for finding relevant articles.
    • The statistical RELATED ARTICLES function demonstrated effectiveness in selecting narrowly defined scientific literature.
    • The study highlights the potential of automated systems for literature curation.

    Conclusions:

    • Automated bibliography updates using statistical functions like PubMed's RELATED ARTICLES are feasible and effective.
    • This approach can assist researchers in staying current with specialized scientific literature.
    • Balancing user evaluation frequency and volume is key for optimizing literature review processes.