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| Title |
Making Policy on Augmented Intelligence in Health Care
|
|---|---|
| Published in |
AMA Journal of Ethics, February 2019
|
| DOI | 10.1001/amajethics.2019.188 |
| Pubmed ID |
Twitter Demographics
The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 13 | 45% |
| United Kingdom | 1 | 3% |
| Comoros | 1 | 3% |
| South Africa | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 11 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 69% |
| Scientists | 6 | 21% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 14% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 20 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 14% |
| Business, Management and Accounting | 7 | 11% |
| Social Sciences | 5 | 8% |
| Computer Science | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 23 | 36% |