@article {356346,
	title = {Limiting a Medline/PubMed query to the "best" articles using the JCR relative impact factor.},
	journal = {Rev Epidemiol Sante Publique},
	volume = {62},
	number = {6},
	year = {2014},
	month = {2014 Dec},
	pages = {361-5},
	abstract = {BACKGROUND: Medline/PubMed is the most frequently used medical bibliographic research database. The aim of this study was to propose a new generic method to limit any Medline/PubMed query based on the relative impact factor and the A \&amp; B categories of the SIGAPS score. MATERIAL AND METHODS: The entire PubMed corpus was used for the feasibility study, then ten frequent diseases in terms of PubMed indexing and the citations of four Nobel prize winners. The relative impact factor (RIF) was calculated by medical specialty defined in Journal Citation Reports. The two queries, which included all the journals in category A (or A OR B), were added to any Medline/PubMed query as a central point of the feasibility study. RESULTS: Limitation using the SIGAPS category A was larger than the when using the Core Clinical Journals (CCJ): 15.65\% of PubMed corpus vs 8.64\% for CCJ. The response time of this limit applied to the entire PubMed corpus was less than two seconds. For five diseases out of ten, limiting the citations with the RIF was more effective than with the CCJ. For the four Nobel prize winners, limiting the citations with the RIF was more effective than the CCJ. CONCLUSION: The feasibility study to apply a new filter based on the relative impact factor on any Medline/PubMed query was positive.},
	issn = {0398-7620},
	doi = {10.1016/j.respe.2014.09.008},
	author = {Avillach, P and Kerdelhu{\'e}, G and Devos, P and Maisonneuve, H and Darmoni, S J}
}
