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Dataset Information

Representation of cancer in the medical literature--a bibliometric analysis.


ABSTRACT:

Background

There exists a lack of knowledge regarding the quantity and quality of scientific yield in relation to individual cancer types. We aimed to measure the proportion, quality and relevance of oncology-related articles, and to relate this output to their associated disease burden. By incorporating the impact factor(IF) and Eigenfactor™(EF) into our analysis we also assessed the relationship between these indices and the output under study.

Methods

All publications in 2007 were retrieved for the 26 most common cancers. The top 20 journals ranked by IF and EF in general medicine and oncology, and the presence of each malignancy within these titles was analysed. Journals publishing most prolifically on each cancer were identified and their impact assessed.

Principal f

SUBMITTER: Glynn RW 

PROVIDER: S-EPMC2976696 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature