TY  - GEN 
AU  - Ortuño, Francisco M.
AU  - Rojas Ruiz, Ignacio
AU  - Andrade-Navarro, Miguel A.
AU  - Fontaine, Jean-Fred
PY  - 2013
SN  - 1471-2105
UR  - http://hdl.handle.net/10481/28449
AB  - Background

A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little,...
AB  - Results

Data on cited references and text sections in 249,108 full-text biomedical articles was extracted from the Open Access subset of the PubMed Central® database (PMC-OA). Of the five standard sections of a scientific article, the Introduction...
AB  - Conclusions

The retrieval of documents related to a single document can be significantly improved by using the references cited by this document (p-value<0.01). Using references from Introduction and Discussion performs almost as well as using all...
LA  - eng
PB  - Biomed Central
KW  - Information retrieval
KW  - Text categorization
KW  - Citations
KW  - Full-text documents
KW  - Biomedical literature
KW  - Query expansion
KW  - Document classifcation
TI  - Using cited references to improve the retrieval of related biomedical documents
DO  - 10.1186/1471-2105-14-113
ER  -