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X Demographics
Mendeley readers
Title |
Leveraging explanations in interactive machine learning: An overview
|
---|---|
Published in |
Frontiers in Artificial Intelligence, February 2023
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DOI | 10.3389/frai.2023.1066049 |
Pubmed ID | |
Authors |
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 2 | 13% |
Italy | 2 | 13% |
Greece | 1 | 7% |
United States | 1 | 7% |
Switzerland | 1 | 7% |
Unknown | 8 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 53% |
Members of the public | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 16% |
Student > Master | 3 | 9% |
Student > Bachelor | 3 | 9% |
Other | 2 | 6% |
Lecturer | 2 | 6% |
Other | 4 | 13% |
Unknown | 13 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 47% |
Chemical Engineering | 1 | 3% |
Social Sciences | 1 | 3% |
Engineering | 1 | 3% |
Unknown | 14 | 44% |