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pubmed2ensembl: A Resource for Mining the Biological Literature on Genes

Overview of attention for article published in PLOS ONE, September 2011
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Title
pubmed2ensembl: A Resource for Mining the Biological Literature on Genes
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024716
Pubmed ID
Authors

Joachim Baran, Martin Gerner, Maximilian Haeussler, Goran Nenadic, Casey M. Bergman

Abstract

The last two decades have witnessed a dramatic acceleration in the production of genomic sequence information and publication of biomedical articles. Despite the fact that genome sequence data and publications are two of the most heavily relied-upon sources of information for many biologists, very little effort has been made to systematically integrate data from genomic sequences directly with the biological literature. For a limited number of model organisms dedicated teams manually curate publications about genes; however for species with no such dedicated staff many thousands of articles are never mapped to genes or genomic regions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 7%
United States 4 4%
Australia 2 2%
Canada 2 2%
Spain 2 2%
France 1 1%
Mexico 1 1%
Unknown 72 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 14 16%
Other 10 11%
Student > Master 6 7%
Professor 6 7%
Other 19 21%
Unknown 11 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 50%
Computer Science 11 12%
Biochemistry, Genetics and Molecular Biology 7 8%
Medicine and Dentistry 5 6%
Unspecified 1 1%
Other 7 8%
Unknown 14 16%