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Mendeley readers
| Title |
A classification model for distinguishing copy number variants from cancer-related alterations
|
|---|---|
| Published in |
BMC Bioinformatics, June 2010
|
| DOI | 10.1186/1471-2105-11-297 |
| Pubmed ID | |
| Authors |
Irina Ostrovnaya, Gouri Nanjangud, Adam B Olshen |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Italy | 1 | 2% |
| Finland | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Unknown | 46 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 43% |
| Student > Ph. D. Student | 11 | 20% |
| Professor > Associate Professor | 6 | 11% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 39% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 9 | 17% |
| Medicine and Dentistry | 3 | 6% |
| Mathematics | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 8 | 15% |