| Title |
Modeling Cancer Progression via Pathway Dependencies
|
|---|---|
| Published in |
PLoS Computational Biology, February 2008
|
| DOI | 10.1371/journal.pcbi.0040028 |
| Pubmed ID | |
| Authors |
Elena J Edelman, Justin Guinney, Jen-Tsan Chi, Phillip G Febbo, Sayan Mukherjee |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 8% |
| Israel | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Serbia | 1 | <1% |
| Unknown | 99 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 28% |
| Researcher | 30 | 27% |
| Student > Master | 10 | 9% |
| Professor > Associate Professor | 9 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 40% |
| Computer Science | 19 | 17% |
| Biochemistry, Genetics and Molecular Biology | 10 | 9% |
| Mathematics | 8 | 7% |
| Chemistry | 4 | 4% |
| Other | 16 | 14% |
| Unknown | 10 | 9% |