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Mendeley readers
| Title |
Applying Support Vector Machines for Gene ontology based gene function prediction
|
|---|---|
| Published in |
BMC Bioinformatics, August 2004
|
| DOI | 10.1186/1471-2105-5-116 |
| Pubmed ID | |
| Authors |
Arunachalam Vinayagam, Rainer König, Jutta Moormann, Falk Schubert, Roland Eils, Karl-Heinz Glatting, Sándor Suhai |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| France | 2 | 3% |
| Brazil | 2 | 3% |
| Canada | 1 | 1% |
| Germany | 1 | 1% |
| Greece | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 55 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 30% |
| Student > Ph. D. Student | 14 | 21% |
| Professor > Associate Professor | 7 | 10% |
| Student > Master | 6 | 9% |
| Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 40% |
| Computer Science | 17 | 25% |
| Medicine and Dentistry | 6 | 9% |
| Engineering | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Other | 3 | 4% |
| Unknown | 5 | 7% |