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X Demographics
Mendeley readers
| Title |
A survey on the role of artificial intelligence in managing Long COVID
|
|---|---|
| Published by |
Frontiers, January 2024
|
| DOI | 10.3389/frai.2023.1292466 |
| Pubmed ID | |
| Authors |
Ijaz Ahmad, Alessia Amelio, Arcangelo Merla, Francesca Scozzari |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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 % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Bachelor | 2 | 25% |
| Unspecified | 1 | 13% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 25% |
| Medicine and Dentistry | 2 | 25% |
| Unspecified | 1 | 13% |
| Unknown | 3 | 38% |