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Timeline
X Demographics
Mendeley readers
Title |
Modeling Users' Cognitive Performance Using Digital Pen Features
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2022
|
DOI | 10.3389/frai.2022.787179 |
Pubmed ID | |
Authors |
Alexander Prange, Daniel Sonntag |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Cameroon | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Student > Master | 3 | 9% |
Lecturer | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Unspecified | 2 | 6% |
Other | 6 | 17% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 17% |
Computer Science | 4 | 11% |
Psychology | 3 | 9% |
Neuroscience | 2 | 6% |
Unspecified | 2 | 6% |
Other | 8 | 23% |
Unknown | 10 | 29% |