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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
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% |