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Mendeley readers
Chapter title |
An Interactive Course Analyzer for Improving Learning Styles Support Level
|
---|---|
Chapter number | 13 |
Book title |
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
|
Published by |
Springer, Berlin, Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-39146-0_13 |
Book ISBNs |
978-3-64-239145-3, 978-3-64-239146-0
|
Authors |
Moushir M. El-Bishouty, Kevin Saito, Ting-Wen Chang, Kinshuk, Sabine Graf, El-Bishouty, Moushir M., Saito, Kevin, Chang, Ting-Wen, Kinshuk, , Graf, Sabine |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 5% |
Israel | 1 | 5% |
Turkey | 1 | 5% |
Unknown | 17 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 30% |
Student > Master | 4 | 20% |
Lecturer | 3 | 15% |
Student > Doctoral Student | 1 | 5% |
Professor | 1 | 5% |
Other | 3 | 15% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 40% |
Social Sciences | 3 | 15% |
Medicine and Dentistry | 2 | 10% |
Psychology | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Other | 2 | 10% |
Unknown | 2 | 10% |