The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
COVID-19 and beyond: leveraging artificial intelligence for enhanced outbreak control
|
|---|---|
| Published by |
Frontiers, November 2023
|
| DOI | 10.3389/frai.2023.1266560 |
| Pubmed ID | |
| Authors |
Faiza Farhat, Shahab Saquib Sohail, Mohammed Talha Alam, Syed Ubaid, Shakil, Mohd Ashhad, Dag Øivind Madsen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 9% |
| Unspecified | 1 | 9% |
| Librarian | 1 | 9% |
| Other | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Computer Science | 2 | 18% |
| Unspecified | 1 | 9% |
| Arts and Humanities | 1 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |