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Mendeley readers
| Title |
Predicting adverse side effects of drugs
|
|---|---|
| Published in |
BMC Genomics, December 2011
|
| DOI | 10.1186/1471-2164-12-s5-s11 |
| Pubmed ID | |
| Authors |
Liang-Chin Huang, Xiaogang Wu, Jake Y Chen |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 136 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 23% |
| Student > Master | 24 | 17% |
| Researcher | 22 | 15% |
| Student > Bachelor | 17 | 12% |
| Student > Postgraduate | 10 | 7% |
| Other | 20 | 14% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 24% |
| Computer Science | 30 | 21% |
| Engineering | 13 | 9% |
| Biochemistry, Genetics and Molecular Biology | 12 | 8% |
| Medicine and Dentistry | 10 | 7% |
| Other | 25 | 18% |
| Unknown | 18 | 13% |