Document Detail


Sequential result refinement for searching the biomedical literature.
MedLine Citation:
PMID:  19272463     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Information overload is a problem for users of MEDLINE, the database of biomedical literature that indexes over 17 million articles. Various techniques have been developed to retrieve high quality or important articles. Some techniques rely on using the number of citations as a measurement of an article's importance. Unfortunately, citation information is proprietary, expensive, and suffers from "citation lag." MEDLINE users have a variety of information needs. Although some users require high recall, many users are looking for a "few good articles" on a topic. For these users, precision is more important than recall. We present and evaluate a method for identifying articles likely to be highly cited by using information available at the time of listing in MEDLINE. The method uses a score based on Medical Subject Headings (MeSH) terms, journal impact factor (JIF), and number of authors. This method can filter large MEDLINE result sets (>1000 articles) returned by actual user queries to produce small, highly cited result sets.
Authors:
L Y Tanaka; J R Herskovic; M S Iyengar; E V Bernstam
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2009-03-09
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  42     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-07-06     Completed Date:  2009-09-22     Revised Date:  2014-04-28    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  678-84     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Abstracting and Indexing as Topic
Algorithms*
Biomedical Research
Information Storage and Retrieval / methods*
Journal Impact Factor
MEDLINE*
Regression Analysis
Grant Support
ID/Acronym/Agency:
5T15LM07093/LM/NLM NIH HHS; T15 LM007093/LM/NLM NIH HHS; T15 LM007093-16/LM/NLM NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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