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Mendeley readers
| Title |
A novel approach to simulate gene-environment interactions in complex diseases
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-8 |
| Pubmed ID | |
| Authors |
Roberto Amato, Michele Pinelli, Daniel D'Andrea, Gennaro Miele, Mario Nicodemi, Giancarlo Raiconi, Sergio Cocozza |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 58 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 28% |
| Researcher | 8 | 13% |
| Professor > Associate Professor | 4 | 7% |
| Student > Master | 4 | 7% |
| Professor | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 30% |
| Computer Science | 11 | 18% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Immunology and Microbiology | 2 | 3% |
| Mathematics | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 13 | 21% |