The data shown below were collected from the profiles of 8 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 |
A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2020
|
| DOI | 10.3389/frai.2020.543405 |
| Pubmed ID | |
| Authors |
Adam Baker, Yura Perov, Katherine Middleton, Janie Baxter, Daniel Mullarkey, Davinder Sangar, Mobasher Butt, Arnold DoRosario, Saurabh Johri |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| United States | 1 | 13% |
| India | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 175 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 10% |
| Other | 13 | 7% |
| Researcher | 13 | 7% |
| Student > Ph. D. Student | 12 | 7% |
| Student > Bachelor | 11 | 6% |
| Other | 20 | 11% |
| Unknown | 88 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 13% |
| Computer Science | 18 | 10% |
| Engineering | 9 | 5% |
| Business, Management and Accounting | 7 | 4% |
| Nursing and Health Professions | 5 | 3% |
| Other | 25 | 14% |
| Unknown | 89 | 51% |