Literature DB >> 10205345

Bibliographic information retrieval in the field of artificial nutrition.

M Farriol1, M Jordà-Olives, J B Padró.   

Abstract

The enormous amount of data available for clinical and research purposes has made information searching a complex task. We have designed a study to determine which bibliographic databases provide appropriate information for the field of artificial nutrition. Of the 149 databases consulted in the preliminary search, 15 were found to contain an appreciable number of titles related to our field. As a general result, we found that MEDLINE had the largest number of titles but other databases oriented toward more specific topics contained references that were unique to them. The results show that an exhaustive search for any topic concerning artificial nutrition must be done on MEDLINE, EMBASE and Current Contents (75% productivity). These can be complemented with others according to their specialization in the subject to be treated. To obtain productivity over 75%, from five to seven databases must be consulted, according to the item under study.

Mesh:

Year:  1998        PMID: 10205345     DOI: 10.1016/s0261-5614(98)80062-9

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  3 in total

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Authors:  Thad Wilkins; Ralph A Gillies; Kathy Davies
Journal:  Can Fam Physician       Date:  2005-06       Impact factor: 3.275

2.  Can electronic search engines optimize screening of search results in systematic reviews: an empirical study.

Authors:  Margaret Sampson; Nicholas J Barrowman; David Moher; Tammy J Clifford; Robert W Platt; Andra Morrison; Terry P Klassen; Li Zhang
Journal:  BMC Med Res Methodol       Date:  2006-02-24       Impact factor: 4.615

3.  Is the coverage of Google Scholar enough to be used alone for systematic reviews.

Authors:  Jean-François Gehanno; Laetitia Rollin; Stefan Darmoni
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-09       Impact factor: 2.796

  3 in total

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