The data shown below were collected from the profiles of 31 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 |
Governing Ethical AI Transformation: A Case Study of AuroraAI
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, February 2022
|
| DOI | 10.3389/frai.2022.836557 |
| Pubmed ID | |
| Authors |
Jaana Leikas, Aditya Johri, Marko Latvanen, Nina Wessberg, Antti Hahto |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 13% |
| Canada | 4 | 13% |
| India | 2 | 6% |
| Brazil | 2 | 6% |
| Kenya | 1 | 3% |
| Switzerland | 1 | 3% |
| France | 1 | 3% |
| Sweden | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 90% |
| Scientists | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 12% |
| Student > Master | 7 | 10% |
| Unspecified | 6 | 9% |
| Professor | 4 | 6% |
| Student > Bachelor | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 32 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 13% |
| Unspecified | 6 | 9% |
| Business, Management and Accounting | 5 | 7% |
| Computer Science | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 33 | 49% |