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Mendeley readers
| Title |
Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-s3-s7 |
| Pubmed ID | |
| Authors |
R Mitchell Parry, John H Phan, May D Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 38% |
| Student > Master | 3 | 23% |
| Other | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 31% |
| Computer Science | 4 | 31% |
| Agricultural and Biological Sciences | 2 | 15% |
| Earth and Planetary Sciences | 1 | 8% |
| Materials Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |