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X Demographics
Mendeley readers
Title |
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning
|
---|---|
Published in |
Frontiers in Artificial Intelligence, March 2020
|
DOI | 10.3389/frai.2020.00006 |
Pubmed ID | |
Authors |
Charles Patrick Martin, Kyrre Glette, Tønnes Frostad Nygaard, Jim Torresen |
X Demographics
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
United Arab Emirates | 1 | 17% |
Switzerland | 1 | 17% |
Norway | 1 | 17% |
Unknown | 1 | 17% |
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Student > Doctoral Student | 2 | 17% |
Lecturer | 2 | 17% |
Student > Master | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 33% |
Mathematics | 1 | 8% |
Psychology | 1 | 8% |
Sports and Recreations | 1 | 8% |
Engineering | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |