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Mendeley readers
| Chapter title |
Identifying a Typology of Players Based on Longitudinal Game Data
|
|---|---|
| Chapter number | 7 |
| Book title |
Predicting Real World Behaviors from Virtual World Data
|
| Published by |
Springer, Cham, January 2014
|
| DOI | 10.1007/978-3-319-07142-8_7 |
| Book ISBNs |
978-3-31-907141-1, 978-3-31-907142-8
|
| Authors |
Iftekhar Ahmed, Amogh Mahapatra, Marshall Scott Poole, Jaideep Srivastava, Channing Brown, Ahmed, Iftekhar, Mahapatra, Amogh, Poole, Marshall Scott, Srivastava, Jaideep, Brown, Channing |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 14% |
| Denmark | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 29% |
| Arts and Humanities | 1 | 14% |
| Computer Science | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 2 | 29% |