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Mendeley readers
| Title |
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification
|
|---|---|
| Published in |
BMC Bioinformatics, November 2008
|
| DOI | 10.1186/1471-2105-9-486 |
| Pubmed ID | |
| Authors |
Michael Gormley, Aydin Tozeren |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| Ukraine | 1 | 4% |
| France | 1 | 4% |
| Unknown | 23 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 26% |
| Researcher | 6 | 22% |
| Other | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Lecturer > Senior Lecturer | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 3 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 48% |
| Medicine and Dentistry | 6 | 22% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 3 | 11% |