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Mendeley readers
| Title |
InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
|
|---|---|
| Published in |
Genome Biology, September 2007
|
| DOI | 10.1186/gb-2007-8-9-r192 |
| Pubmed ID | |
| Authors |
Haidong Wang, Eran Segal, Asa Ben-Hur, Qian-Ru Li, Marc Vidal, Daphne Koller |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Germany | 4 | 4% |
| Israel | 2 | 2% |
| Canada | 2 | 2% |
| Korea, Republic of | 1 | 1% |
| Australia | 1 | 1% |
| Hungary | 1 | 1% |
| Slovenia | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 70 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 29% |
| Researcher | 19 | 20% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 9 | 10% |
| Professor | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 59% |
| Computer Science | 20 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Engineering | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 3 | 3% |