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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% |