| Title |
Impact of reviewer social interaction on online consumer review fraud detection
|
|---|---|
| Published in |
Journal of Big Data, May 2017
|
| DOI | 10.1186/s40537-017-0075-6 |
| Authors |
Kunal Goswami, Younghee Park, Chungsik Song |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 105 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 9 | 9% |
| Lecturer | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Researcher | 7 | 7% |
| Other | 22 | 21% |
| Unknown | 39 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 25 | 24% |
| Computer Science | 19 | 18% |
| Economics, Econometrics and Finance | 6 | 6% |
| Unspecified | 4 | 4% |
| Social Sciences | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 42 | 40% |