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Mendeley readers
| Title |
An integrative modular approach to systematically predict gene-phenotype associations
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-s1-s62 |
| Pubmed ID | |
| Authors |
Michael R Mehan, Juan Nunez-Iglesias, Chao Dai, Michael S Waterman, Xianghong Jasmine Zhou |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 12% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 34 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 32% |
| Researcher | 11 | 27% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 46% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Computer Science | 6 | 15% |
| Medicine and Dentistry | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 3 | 7% |