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Mendeley readers
| Title |
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
|
|---|---|
| Published in |
BMC Bioinformatics, April 2011
|
| DOI | 10.1186/1471-2105-12-112 |
| Pubmed ID | |
| Authors |
Frank PY Lin, Stephen Anthony, Thomas M Polasek, Guy Tsafnat, Matthew P Doogue |
Mendeley readers
The data shown below were compiled from readership statistics for 50 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% |
| Portugal | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 46 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 26% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 6 | 12% |
| Other | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 22% |
| Computer Science | 11 | 22% |
| Medicine and Dentistry | 5 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 9 | 18% |