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Mendeley readers
Chapter title |
Cross-Domain Recommender Systems
|
---|---|
Chapter number | 27 |
Book title |
Recommender Systems Handbook
|
Published by |
Springer US, January 2015
|
DOI | 10.1007/978-1-4899-7637-6_27 |
Book ISBNs |
978-1-4899-7636-9, 978-1-4899-7637-6
|
Authors |
Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi, Cantador, Iván, Fernández-Tobías, Ignacio, Berkovsky, Shlomo, Cremonesi, Paolo |
Editors |
Francesco Ricci, Lior Rokach, Bracha Shapira |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 1% |
Italy | 1 | <1% |
Austria | 1 | <1% |
Netherlands | 1 | <1% |
Argentina | 1 | <1% |
India | 1 | <1% |
United States | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 163 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 24% |
Student > Master | 30 | 17% |
Researcher | 13 | 8% |
Student > Bachelor | 9 | 5% |
Professor > Associate Professor | 9 | 5% |
Other | 25 | 15% |
Unknown | 45 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 100 | 58% |
Business, Management and Accounting | 7 | 4% |
Engineering | 4 | 2% |
Physics and Astronomy | 2 | 1% |
Decision Sciences | 2 | 1% |
Other | 5 | 3% |
Unknown | 52 | 30% |