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X Demographics
Mendeley readers
Title |
The Moral Choice Machine
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2020
|
DOI | 10.3389/frai.2020.00036 |
Pubmed ID | |
Authors |
Patrick Schramowski, Cigdem Turan, Sophie Jentzsch, Constantin Rothkopf, Kristian Kersting |
X Demographics
The data shown below were collected from the profiles of 134 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 | 14 | 10% |
United Kingdom | 12 | 9% |
Germany | 10 | 7% |
Switzerland | 6 | 4% |
India | 4 | 3% |
South Africa | 2 | 1% |
France | 2 | 1% |
Nigeria | 2 | 1% |
Canada | 2 | 1% |
Other | 16 | 12% |
Unknown | 64 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 110 | 82% |
Scientists | 20 | 15% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 20% |
Student > Ph. D. Student | 5 | 10% |
Student > Doctoral Student | 3 | 6% |
Researcher | 3 | 6% |
Student > Bachelor | 2 | 4% |
Other | 5 | 10% |
Unknown | 22 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 26% |
Engineering | 2 | 4% |
Arts and Humanities | 1 | 2% |
Chemical Engineering | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 7 | 14% |
Unknown | 25 | 50% |