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Mendeley readers
| Title |
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-s4-s2 |
| Pubmed ID | |
| Authors |
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, William Stafford Noble, Christina Leslie |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Korea, Republic of | 1 | 2% |
| Italy | 1 | 2% |
| Sweden | 1 | 2% |
| Israel | 1 | 2% |
| India | 1 | 2% |
| Australia | 1 | 2% |
| Malta | 1 | 2% |
| United Kingdom | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 54 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 29% |
| Student > Ph. D. Student | 14 | 21% |
| Professor > Associate Professor | 7 | 11% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 38% |
| Computer Science | 9 | 14% |
| Engineering | 7 | 11% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Medicine and Dentistry | 6 | 9% |
| Other | 4 | 6% |
| Unknown | 9 | 14% |