The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2022
|
| DOI | 10.3389/frai.2022.879603 |
| Pubmed ID | |
| Authors |
Anastasiya Kiseleva, Dimitris Kotzinos, Paul De Hert |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 13% |
| Germany | 1 | 7% |
| Brazil | 1 | 7% |
| Greece | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 10% |
| Student > Master | 10 | 7% |
| Student > Bachelor | 6 | 4% |
| Researcher | 4 | 3% |
| Other | 4 | 3% |
| Other | 17 | 13% |
| Unknown | 82 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 10% |
| Social Sciences | 5 | 4% |
| Computer Science | 5 | 4% |
| Nursing and Health Professions | 4 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Other | 20 | 15% |
| Unknown | 86 | 63% |