Skip to main content
Top
Published in: BMC Medical Informatics and Decision Making 1/2011

Open Access 01-12-2011 | Correspondence

How are the different specialties represented in the major journals in general medicine?

Authors: Jean-Francois Gehanno, Joel Ladner, Laetitia Rollin, Badisse Dahamna, Stefan J Darmoni

Published in: BMC Medical Informatics and Decision Making | Issue 1/2011

Login to get access

Abstract

Background

General practitioners and medical specialists mainly rely on one "general medical" journal to keep their medical knowledge up to date. Nevertheless, it is not known if these journals display the same overview of the medical knowledge in different specialties. The aims of this study were to measure the relative weight of the different specialties in the major journals of general medicine, to evaluate the trends in these weights over a ten-year period and to compare the journals.

Methods

The 14,091 articles published in The Lancet, the NEJM, the JAMA and the BMJ in 1997, 2002 and 2007 were analyzed. The relative weight of the medical specialities was determined by categorization of all the articles, using a categorization algorithm which inferred the medical specialties relevant to each article MEDLINE file from the MeSH terms used by the indexers of the US National Library of Medicine to describe each article.

Results

The 14,091 articles included in our study were indexed by 22,155 major MeSH terms, which were categorized into 81 different medical specialties. Cardiology and Neurology were in the first 3 specialties in the 4 journals. Five and 15 specialties were systematically ranked in the first 10 and first 20 in the four journals respectively. Among the first 30 specialties, 23 were common to the four journals. For each speciality, the trends over a 10-year period were different from one journal to another, with no consistency and no obvious explanatory factor.

Conclusions

Overall, the representation of many specialties in the four journals in general and internal medicine included in this study may differ, probably due to different editorial policies. Reading only one of these journals may provide a reliable but only partial overview.
Literature
1.
go back to reference The multiplication of books. JAMA. 1901, 37: 647-648. The multiplication of books. JAMA. 1901, 37: 647-648.
2.
go back to reference Jones T, Hanney S, Buxton M, Burns T: What British psychiatrists read. British Journal of Psychiatry. 2004, 185: 251-257. 10.1192/bjp.185.3.251.CrossRefPubMed Jones T, Hanney S, Buxton M, Burns T: What British psychiatrists read. British Journal of Psychiatry. 2004, 185: 251-257. 10.1192/bjp.185.3.251.CrossRefPubMed
3.
go back to reference Jones TH, Hanney S, Buxton MJ: The journals of importance to UK clinicians: a questionnaire survey of surgeons. BMC Med Inform Decis Mak. 2006, 6: 24-10.1186/1472-6947-6-24.CrossRefPubMedPubMedCentral Jones TH, Hanney S, Buxton MJ: The journals of importance to UK clinicians: a questionnaire survey of surgeons. BMC Med Inform Decis Mak. 2006, 6: 24-10.1186/1472-6947-6-24.CrossRefPubMedPubMedCentral
4.
go back to reference Schein M, Paladugu R, Sutija VG, Wise L: What American surgeons read: a survey of a thousand fellows of the American College of Surgeons. Current Surgery. 2000, 57: 252-258. 10.1016/S0149-7944(00)00177-X.CrossRefPubMed Schein M, Paladugu R, Sutija VG, Wise L: What American surgeons read: a survey of a thousand fellows of the American College of Surgeons. Current Surgery. 2000, 57: 252-258. 10.1016/S0149-7944(00)00177-X.CrossRefPubMed
5.
go back to reference Darmoni SJ, Neveol A, Renard JM, Gehanno JF, Soualmia LF, Dahamna B, Thirion B: A MEDLINE categorization algorithm. BMC Med Inform Decis Mak. 2006, 6: 7-10.1186/1472-6947-6-7.CrossRefPubMedPubMedCentral Darmoni SJ, Neveol A, Renard JM, Gehanno JF, Soualmia LF, Dahamna B, Thirion B: A MEDLINE categorization algorithm. BMC Med Inform Decis Mak. 2006, 6: 7-10.1186/1472-6947-6-7.CrossRefPubMedPubMedCentral
6.
go back to reference Douyère M, Soualmia LF, Névéol A, Rogozan A, Dahamna B, Leroy JP, Thirion B, Darmoni SJ: Enhancing the MeSH thesaurus to retrieve French online health resources in a quality-controlled gateway. Health Info Libr J. 2004, 21: 253-261.CrossRefPubMed Douyère M, Soualmia LF, Névéol A, Rogozan A, Dahamna B, Leroy JP, Thirion B, Darmoni SJ: Enhancing the MeSH thesaurus to retrieve French online health resources in a quality-controlled gateway. Health Info Libr J. 2004, 21: 253-261.CrossRefPubMed
7.
go back to reference Humphrey SM, Névéol A, Gobeil J, Ruch P, Darmoni SJ, Browne A: Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty. J Am Soc Inf Sci Technol. 2009, 60: 2530-2539. 10.1002/asi.21170.CrossRefPubMedPubMedCentral Humphrey SM, Névéol A, Gobeil J, Ruch P, Darmoni SJ, Browne A: Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty. J Am Soc Inf Sci Technol. 2009, 60: 2530-2539. 10.1002/asi.21170.CrossRefPubMedPubMedCentral
8.
go back to reference Bodenreider O: Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000, 86-90. Bodenreider O: Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000, 86-90.
Metadata
Title
How are the different specialties represented in the major journals in general medicine?
Authors
Jean-Francois Gehanno
Joel Ladner
Laetitia Rollin
Badisse Dahamna
Stefan J Darmoni
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2011
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/1472-6947-11-3

Other articles of this Issue 1/2011

BMC Medical Informatics and Decision Making 1/2011 Go to the issue