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X Demographics
Mendeley readers
| Title |
Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?
|
|---|---|
| Published in |
The AMA Journal of Ethic, February 2019
|
| DOI | 10.1001/amajethics.2019.160 |
| Pubmed ID | |
| Authors |
Hannah R Sullivan, Scott J Schweikart |
X Demographics
The data shown below were collected from the profiles of 19 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 | 9 | 47% |
| Japan | 2 | 11% |
| United Kingdom | 1 | 5% |
| Singapore | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 68% |
| Practitioners (doctors, other healthcare professionals) | 3 | 16% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 172 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 11% |
| Student > Bachelor | 17 | 10% |
| Student > Ph. D. Student | 16 | 9% |
| Researcher | 15 | 9% |
| Other | 11 | 6% |
| Other | 33 | 19% |
| Unknown | 61 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 14% |
| Social Sciences | 22 | 13% |
| Business, Management and Accounting | 9 | 5% |
| Computer Science | 9 | 5% |
| Engineering | 7 | 4% |
| Other | 28 | 16% |
| Unknown | 73 | 42% |