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Mendeley readers
| Title |
Applying unmixing to gene expression data for tumor phylogeny inference
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-42 |
| Pubmed ID | |
| Authors |
Russell Schwartz, Stanley E Shackney |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 11% |
| United Kingdom | 1 | 1% |
| Switzerland | 1 | 1% |
| Belgium | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 72 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 31% |
| Researcher | 15 | 18% |
| Student > Bachelor | 9 | 11% |
| Professor > Associate Professor | 9 | 11% |
| Professor | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 41% |
| Computer Science | 15 | 18% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Mathematics | 6 | 7% |
| Engineering | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 7 | 8% |