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X Demographics
Mendeley readers
| Title |
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
|
|---|---|
| Published in |
The AMA Journal of Ethic, February 2019
|
| DOI | 10.1001/amajethics.2019.167 |
| Pubmed ID | |
| Authors |
Irene Y Chen, Peter Szolovits, Marzyeh Ghassemi |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 39% |
| United Kingdom | 4 | 8% |
| India | 2 | 4% |
| Saudi Arabia | 1 | 2% |
| Turkey | 1 | 2% |
| Japan | 1 | 2% |
| Costa Rica | 1 | 2% |
| United Arab Emirates | 1 | 2% |
| Canada | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 15 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 67% |
| Scientists | 11 | 22% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 327 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 14% |
| Student > Bachelor | 31 | 9% |
| Researcher | 29 | 9% |
| Student > Master | 27 | 8% |
| Professor | 18 | 6% |
| Other | 59 | 18% |
| Unknown | 118 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 12% |
| Computer Science | 34 | 10% |
| Engineering | 17 | 5% |
| Nursing and Health Professions | 15 | 5% |
| Social Sciences | 15 | 5% |
| Other | 73 | 22% |
| Unknown | 134 | 41% |