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Timeline
X Demographics
Mendeley readers
Title |
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences
|
---|---|
Published in |
Frontiers in Artificial Intelligence, February 2022
|
DOI | 10.3389/frai.2022.807320 |
Pubmed ID | |
Authors |
Kamil Akhuseyinoglu, Peter Brusilovsky |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 3 | 12% |
Lecturer > Senior Lecturer | 2 | 8% |
Student > Master | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 3 | 12% |
Unknown | 12 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 31% |
Chemical Engineering | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 50% |