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Mendeley readers
Chapter title |
Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science
|
---|---|
Chapter number | 17 |
Book title |
User Modeling, Adaptation, and Personalization
|
Published in |
Lecture notes in computer science, June 2013
|
DOI | 10.1007/978-3-642-38844-6_17 |
Book ISBNs |
978-3-64-238843-9, 978-3-64-238844-6
|
Authors |
Ryan S. J. D. Baker, Jody Clarke-Midura |
Editors |
Sandra Carberry, Stephan Weibelzahl, Alessandro Micarelli, Giovanni Semeraro |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 4% |
United Kingdom | 1 | 2% |
Unknown | 42 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 29% |
Researcher | 6 | 13% |
Student > Doctoral Student | 5 | 11% |
Student > Master | 5 | 11% |
Student > Bachelor | 3 | 7% |
Other | 9 | 20% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 27% |
Social Sciences | 12 | 27% |
Psychology | 7 | 16% |
Engineering | 3 | 7% |
Physics and Astronomy | 2 | 4% |
Other | 2 | 4% |
Unknown | 7 | 16% |