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Mendeley readers
Chapter title |
Applying Genetic Algorithms for Recommending Adequate Competitors in Mobile Game-Based Learning Environments
|
---|---|
Chapter number | 23 |
Book title |
Intelligent Tutoring Systems
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-49663-0_23 |
Book ISBNs |
978-3-03-049662-3, 978-3-03-049663-0
|
Authors |
Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou, Krouska, Akrivi, Troussas, Christos, Sgouropoulou, Cleo |
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 % |
---|---|---|
Lecturer | 3 | 13% |
Lecturer > Senior Lecturer | 2 | 9% |
Student > Bachelor | 2 | 9% |
Student > Master | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Other | 3 | 13% |
Unknown | 9 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 26% |
Social Sciences | 3 | 13% |
Arts and Humanities | 2 | 9% |
Economics, Econometrics and Finance | 1 | 4% |
Environmental Science | 1 | 4% |
Other | 2 | 9% |
Unknown | 8 | 35% |