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Mendeley readers
| Title |
Automatic, context-specific generation of Gene Ontology slims
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-498 |
| Pubmed ID | |
| Authors |
Melissa J Davis, Muhammad Shoaib B Sehgal, Mark A Ragan |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Germany | 2 | 3% |
| Brazil | 2 | 3% |
| Sweden | 1 | 1% |
| Switzerland | 1 | 1% |
| China | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 64 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 43% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 5 | 7% |
| Professor > Associate Professor | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 43% |
| Computer Science | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Engineering | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 7 | 9% |