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Timeline
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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 176 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 10% |
Other | 13 | 7% |
Researcher | 13 | 7% |
Student > Ph. D. Student | 13 | 7% |
Student > Bachelor | 11 | 6% |
Other | 20 | 11% |
Unknown | 88 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 13% |
Computer Science | 19 | 11% |
Engineering | 9 | 5% |
Business, Management and Accounting | 7 | 4% |
Nursing and Health Professions | 5 | 3% |
Other | 25 | 14% |
Unknown | 89 | 51% |