Using citation data to improve retrieval from MEDLINE.

ABSTRACT:

Objective

To determine whether algorithms developed for the World Wide Web can be applied to the biomedical literature in order to identify articles that are important as well as relevant. DESIGN AND MEASUREMENTS A direct comparison of eight algorithms: simple PubMed queries, clinical queries (sensitive and specific versions), vector cosine comparison, citation count, journal impact factor, PageRank, and machine learning based on polynomial support vector machines. The objective was to prioritize important articles, defined as being included in a pre-existing bibliography of important literature in surgical oncology. RESULTS Citation-based algorithms were more effective than noncitation-based algorithms at identifying important articles. The most effective strategies were simple ci

SUBMITTER: Bernstam EV 

PROVIDER: S-EPMC1380202 | biostudies-literature | 2006 Jan-Feb

REPOSITORIES: biostudies-literature