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Mendeley readers
| Chapter title |
Recommender Systems
|
|---|---|
| Chapter number | 2 |
| Book title |
Recommender Systems for Location-based Social Networks
|
| Published by |
Springer, New York, NY, January 2014
|
| DOI | 10.1007/978-1-4939-0286-6_2 |
| Book ISBNs |
978-1-4939-0285-9, 978-1-4939-0286-6
|
| Authors |
Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 220 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 41 | 18% |
| Student > Bachelor | 36 | 16% |
| Student > Ph. D. Student | 31 | 14% |
| Researcher | 21 | 9% |
| Student > Doctoral Student | 11 | 5% |
| Other | 34 | 15% |
| Unknown | 48 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 105 | 47% |
| Engineering | 18 | 8% |
| Business, Management and Accounting | 16 | 7% |
| Physics and Astronomy | 4 | 2% |
| Arts and Humanities | 3 | 1% |
| Other | 21 | 9% |
| Unknown | 55 | 25% |