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Mendeley readers
Chapter title |
Data Mining Methods for Recommender Systems
|
---|---|
Chapter number | 7 |
Book title |
Recommender Systems Handbook
|
Published by |
Springer US, January 2015
|
DOI | 10.1007/978-1-4899-7637-6_7 |
Book ISBNs |
978-1-4899-7636-9, 978-1-4899-7637-6
|
Authors |
Xavier Amatriain, Josep M. Pujol |
Editors |
Francesco Ricci, Lior Rokach, Bracha Shapira |
Mendeley readers
The data shown below were compiled from readership statistics for 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Ireland | 1 | <1% |
Sweden | 1 | <1% |
Malaysia | 1 | <1% |
Canada | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Spain | 1 | <1% |
Croatia | 1 | <1% |
Unknown | 236 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 64 | 26% |
Student > Ph. D. Student | 49 | 20% |
Student > Bachelor | 22 | 9% |
Researcher | 17 | 7% |
Other | 11 | 4% |
Other | 43 | 18% |
Unknown | 39 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 142 | 58% |
Engineering | 22 | 9% |
Business, Management and Accounting | 8 | 3% |
Economics, Econometrics and Finance | 6 | 2% |
Medicine and Dentistry | 3 | 1% |
Other | 17 | 7% |
Unknown | 47 | 19% |