The data shown below were collected from the profiles of 9 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 |
Artificial intelligence assisted acute patient journey
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2022
|
| DOI | 10.3389/frai.2022.962165 |
| Pubmed ID | |
| Authors |
Talha Nazir, Muhammad Mushhood Ur Rehman, Muhammad Roshan Asghar, Junaid S. Kalia |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 44% |
| Switzerland | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Researcher | 3 | 8% |
| Student > Master | 2 | 5% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 22 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 4 | 10% |
| Computer Science | 4 | 10% |
| Medicine and Dentistry | 3 | 8% |
| Unspecified | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 23 | 57% |