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X Demographics
Mendeley readers
Title |
What Are Important Ethical Implications of Using Facial Recognition Technology in Health Care?
|
---|---|
Published by |
American Medical Association (AMA), February 2019
|
DOI | 10.1001/amajethics.2019.180 |
Pubmed ID | |
Authors |
Nicole Martinez-Martin |
X Demographics
The data shown below were collected from the profiles of 64 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 | 20 | 31% |
Spain | 4 | 6% |
Finland | 3 | 5% |
United Kingdom | 2 | 3% |
Mexico | 1 | 2% |
Poland | 1 | 2% |
Saudi Arabia | 1 | 2% |
Turkey | 1 | 2% |
Portugal | 1 | 2% |
Other | 5 | 8% |
Unknown | 25 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 53 | 83% |
Scientists | 6 | 9% |
Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 85 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 13% |
Student > Master | 11 | 13% |
Student > Doctoral Student | 7 | 8% |
Other | 5 | 6% |
Student > Ph. D. Student | 5 | 6% |
Other | 9 | 11% |
Unknown | 37 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 12% |
Business, Management and Accounting | 6 | 7% |
Engineering | 6 | 7% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Social Sciences | 4 | 5% |
Other | 14 | 16% |
Unknown | 41 | 48% |