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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 96 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 | 88 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 33% |
| Student > Master | 19 | 20% |
| Other | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Researcher | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 64 | 67% |
| Design | 3 | 3% |
| Business, Management and Accounting | 3 | 3% |
| Engineering | 3 | 3% |
| Philosophy | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 15 | 16% |