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Twitter Demographics
Mendeley readers
| Title |
Are Current Tort Liability Doctrines Adequate for Addressing Injury Caused by AI?
|
|---|---|
| Published in |
AMA Journal of Ethics, February 2019
|
| DOI | 10.1001/amajethics.2019.160 |
| Pubmed ID |
Twitter Demographics
The data shown below were collected from the profiles of 19 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 | 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% |
| Scientists | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 160 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 12% |
| Student > Bachelor | 16 | 10% |
| Student > Ph. D. Student | 15 | 9% |
| Researcher | 14 | 9% |
| Other | 10 | 6% |
| Other | 31 | 19% |
| Unknown | 55 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 14% |
| Social Sciences | 22 | 14% |
| Business, Management and Accounting | 9 | 6% |
| Computer Science | 9 | 6% |
| Engineering | 7 | 4% |
| Other | 25 | 16% |
| Unknown | 66 | 41% |