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Mendeley readers
| Title |
Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System
|
|---|---|
| Published in |
BMC Pharmacology and Toxicology, July 2022
|
| DOI | 10.1186/s40360-022-00588-0 |
| Pubmed ID | |
| Authors |
Omid Mehrpour, Farhad Saeedi, Christopher Hoyte, Foster Goss, Farshad M. Shirazi |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Unknown | 7 | 78% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 7 | 78% |