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Mendeley readers
| Title |
Predicting potential adverse events using safety data from marketed drugs
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3509-7 |
| Pubmed ID | |
| Authors |
Chathuri Daluwatte, Peter Schotland, David G. Strauss, Keith K. Burkhart, Rebecca Racz |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Researcher | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 6 | 22% |
| Unknown | 9 | 33% |