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X Demographics
Mendeley readers
| Title |
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2022
|
| DOI | 10.3389/frai.2022.927203 |
| Pubmed ID | |
| Authors |
Waleed Hilal, Michael G. Chislett, Brett Snider, Edward A. McBean, John Yawney, S. Andrew Gadsden |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 75% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
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 % |
|---|---|---|
| Lecturer | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 22% |
| Computer Science | 1 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
| Economics, Econometrics and Finance | 1 | 11% |
| Engineering | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |