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X Demographics
Mendeley readers
Title |
How Might Artificial Intelligence Applications Impact Risk Management?
|
---|---|
Published in |
The AMA Journal of Ethic, December 2020
|
DOI | 10.1001/amajethics.2020.945 |
Pubmed ID | |
Authors |
John Banja |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
Mexico | 1 | 8% |
Canada | 1 | 8% |
Italy | 1 | 8% |
India | 1 | 8% |
Sri Lanka | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 2 | 15% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 77% |
Science communicators (journalists, bloggers, editors) | 2 | 15% |
Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 18% |
Other | 3 | 9% |
Student > Master | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Researcher | 2 | 6% |
Other | 3 | 9% |
Unknown | 15 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 18% |
Business, Management and Accounting | 3 | 9% |
Medicine and Dentistry | 3 | 9% |
Computer Science | 2 | 6% |
Engineering | 2 | 6% |
Other | 3 | 9% |
Unknown | 15 | 44% |