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Mendeley readers
Title |
Letting Users Choose Recommender Algorithms
|
---|---|
Published by |
Association for Computing Machinery (ACM), September 2015
|
DOI | 10.1145/2792838.2800195 |
Authors |
Michael D. Ekstrand, Daniel Kluver, F. Maxwell Harper, Joseph A. Konstan |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 3% |
Germany | 1 | 1% |
Pakistan | 1 | 1% |
France | 1 | 1% |
Argentina | 1 | 1% |
United States | 1 | 1% |
Unknown | 87 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 34% |
Student > Master | 19 | 20% |
Other | 8 | 8% |
Student > Doctoral Student | 6 | 6% |
Student > Bachelor | 5 | 5% |
Other | 15 | 16% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 63 | 66% |
Design | 3 | 3% |
Business, Management and Accounting | 3 | 3% |
Engineering | 3 | 3% |
Philosophy | 2 | 2% |
Other | 6 | 6% |
Unknown | 15 | 16% |