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Mendeley readers
| Chapter title |
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
|
|---|---|
| Chapter number | 9 |
| Book title |
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
|
| Published by |
Springer, Berlin, Heidelberg, July 2002
|
| DOI | 10.1007/978-3-540-39663-5_9 |
| Book ISBNs |
978-3-54-020304-9, 978-3-54-039663-5
|
| Authors |
Andreas Geyer-Schulz, Michael Hahsler |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 7% |
| United States | 1 | 4% |
| Unknown | 24 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 22% |
| Student > Master | 6 | 22% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 63% |
| Business, Management and Accounting | 4 | 15% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 1 | 4% |