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Mendeley readers
| Title |
Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis
|
|---|---|
| Published in |
BMC Medical Genomics, January 2011
|
| DOI | 10.1186/1755-8794-4-5 |
| Pubmed ID | |
| Authors |
Shuangge Ma, Michael R Kosorok, Jian Huang, Ying Dai |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 10% |
| Unknown | 19 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Researcher | 4 | 19% |
| Student > Master | 2 | 10% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 24% |
| Agricultural and Biological Sciences | 4 | 19% |
| Medicine and Dentistry | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 29% |