The data shown below were collected from the profiles of 6 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 |
Humanizing AI in medical training: ethical framework for responsible design
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2023
|
DOI | 10.3389/frai.2023.1189914 |
Pubmed ID | |
Authors |
Mohammed Tahri Sqalli, Begali Aslonov, Mukhammadjon Gafurov, Shokhrukhbek Nurmatov |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 17% |
United States | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 11% |
Unspecified | 3 | 8% |
Student > Bachelor | 3 | 8% |
Student > Master | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Other | 6 | 16% |
Unknown | 16 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 11% |
Unspecified | 3 | 8% |
Engineering | 3 | 8% |
Medicine and Dentistry | 2 | 5% |
Economics, Econometrics and Finance | 2 | 5% |
Other | 8 | 21% |
Unknown | 16 | 42% |