You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Extending Log-Based Affect Detection to a Multi-User Virtual Environment for Science
|
---|---|
Chapter number | 25 |
Book title |
User Modeling, Adaptation, and Personalization
|
Published in |
Lecture notes in computer science, January 2014
|
DOI | 10.1007/978-3-319-08786-3_25 |
Book ISBNs |
978-3-31-908785-6, 978-3-31-908786-3
|
Authors |
Ryan S. Baker, Jaclyn Ocumpaugh, Sujith M. Gowda, Amy M. Kamarainen, Shari J. Metcalf |
Editors |
Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, Geert-Jan Houben |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Italy | 1 | 3% |
Unknown | 38 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 30% |
Student > Master | 5 | 13% |
Student > Doctoral Student | 4 | 10% |
Professor > Associate Professor | 4 | 10% |
Researcher | 4 | 10% |
Other | 6 | 15% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 38% |
Psychology | 6 | 15% |
Engineering | 5 | 13% |
Social Sciences | 3 | 8% |
Environmental Science | 2 | 5% |
Other | 3 | 8% |
Unknown | 6 | 15% |