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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% |