| Title |
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
|
|---|---|
| Published in |
PLoS Computational Biology, May 2012
|
| DOI | 10.1371/journal.pcbi.1002503 |
| Pubmed ID | |
| Authors |
Feixiong Cheng, Chuang Liu, Jing Jiang, Weiqiang Lu, Weihua Li, Guixia Liu, Weixing Zhou, Jin Huang, Yun Tang |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Austria | 1 | 13% |
| South Africa | 1 | 13% |
| Canada | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 650 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 2% |
| United Kingdom | 6 | <1% |
| Spain | 5 | <1% |
| Brazil | 3 | <1% |
| China | 3 | <1% |
| India | 3 | <1% |
| Canada | 2 | <1% |
| Germany | 2 | <1% |
| New Caledonia | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 603 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 171 | 26% |
| Researcher | 117 | 18% |
| Student > Master | 86 | 13% |
| Student > Bachelor | 42 | 6% |
| Professor > Associate Professor | 36 | 6% |
| Other | 112 | 17% |
| Unknown | 86 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 152 | 23% |
| Computer Science | 120 | 18% |
| Biochemistry, Genetics and Molecular Biology | 77 | 12% |
| Chemistry | 46 | 7% |
| Medicine and Dentistry | 35 | 5% |
| Other | 107 | 16% |
| Unknown | 113 | 17% |