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Mendeley readers
| Title |
Computational determination of toxicity risks associated with a selection of approved drugs having demonstrated activity against COVID-19
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, October 2021
|
| DOI | 10.1186/s40360-021-00519-5 |
| Pubmed ID | |
| Authors |
Maral Aminpour, Williams Ernesto Miranda Delgado, Soren Wacker, Sergey Noskov, Michael Houghton, D. Lorne J. Tyrrell, Jack A. Tuszynski |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Lecturer | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 27 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 11% |
| Nursing and Health Professions | 2 | 4% |
| Social Sciences | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 26 | 58% |