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Mendeley readers
| Title |
Hadamard Kernel SVM with applications for breast cancer outcome predictions
|
|---|---|
| Published in |
BMC Systems Biology, December 2017
|
| DOI | 10.1186/s12918-017-0514-1 |
| Pubmed ID | |
| Authors |
Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou, Hong Yin |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Student > Bachelor | 3 | 17% |
| Student > Master | 3 | 17% |
| Student > Doctoral Student | 2 | 11% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Mathematics | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Psychology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 28% |