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X Demographics
Mendeley readers
Title |
How Will Artificial Intelligence Affect Patient-Clinician Relationships?
|
---|---|
Published in |
The AMA Journal of Ethic, May 2020
|
DOI | 10.1001/amajethics.2020.395 |
Pubmed ID | |
Authors |
Matthew Nagy, Bryan Sisk |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 3 | 21% |
United States | 3 | 21% |
South Africa | 1 | 7% |
Italy | 1 | 7% |
Unknown | 6 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 64% |
Science communicators (journalists, bloggers, editors) | 2 | 14% |
Scientists | 2 | 14% |
Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 19% |
Researcher | 5 | 14% |
Student > Doctoral Student | 3 | 8% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Other | 7 | 19% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 22% |
Social Sciences | 3 | 8% |
Nursing and Health Professions | 3 | 8% |
Business, Management and Accounting | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 4 | 11% |
Unknown | 15 | 42% |