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Mendeley readers
| Title |
Merged consensus clustering to assess and improve class discovery with microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-590 |
| Pubmed ID | |
| Authors |
T Ian Simpson, J Douglas Armstrong, Andrew P Jarman |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 5% |
| United States | 6 | 5% |
| Portugal | 2 | 2% |
| Russia | 2 | 2% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| Israel | 1 | <1% |
| Japan | 1 | <1% |
| France | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 103 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 30% |
| Researcher | 32 | 26% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 7 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 19 | 15% |
| Unknown | 10 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 32% |
| Computer Science | 25 | 20% |
| Medicine and Dentistry | 17 | 14% |
| Biochemistry, Genetics and Molecular Biology | 11 | 9% |
| Mathematics | 4 | 3% |
| Other | 15 | 12% |
| Unknown | 12 | 10% |