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Mendeley readers
Chapter title |
Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning
|
---|---|
Chapter number | 19 |
Book title |
User Modeling, Adaptation, and Personalization
|
Published in |
Lecture notes in computer science, June 2013
|
DOI | 10.1007/978-3-642-38844-6_19 |
Book ISBNs |
978-3-64-238843-9, 978-3-64-238844-6
|
Authors |
Jennifer Sabourin, Bradford Mott, James Lester |
Editors |
Sandra Carberry, Stephan Weibelzahl, Alessandro Micarelli, Giovanni Semeraro |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
United States | 1 | 2% |
Germany | 1 | 2% |
Unknown | 48 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 44% |
Researcher | 7 | 13% |
Student > Doctoral Student | 5 | 10% |
Student > Postgraduate | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 6 | 12% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 50% |
Social Sciences | 7 | 13% |
Psychology | 6 | 12% |
Engineering | 2 | 4% |
Mathematics | 2 | 4% |
Other | 4 | 8% |
Unknown | 5 | 10% |