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Mendeley readers
| Title |
Corrigendum: Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada
|
|---|---|
| Published in |
Frontiers in Public Health, September 2021
|
| DOI | 10.3389/fpubh.2021.759014 |
| Pubmed ID | |
| Authors |
Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden, Bhumi Patel |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 50% |
| Unspecified | 2 | 25% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 25% |
| Computer Science | 1 | 13% |
| Social Sciences | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 3 | 38% |