The data shown below were collected from the profiles of 2 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 |
Mitigating Issues With/of/for True Personalization
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2022
|
DOI | 10.3389/frai.2022.844817 |
Pubmed ID | |
Authors |
Harri Oinas-Kukkonen, Sami Pohjolainen, Eunice Agyei |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Lecturer | 2 | 9% |
Student > Master | 2 | 9% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 26% |
Business, Management and Accounting | 2 | 9% |
Nursing and Health Professions | 1 | 4% |
Psychology | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 48% |