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X Demographics
Mendeley readers
| Title |
Better Effectiveness Metrics for SERPs, Cards, and Rankings
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), December 2018
|
| DOI | 10.1145/3291992.3292002 |
| Authors |
Paul Thomas, Alistair Moffat, Peter Bailey, Falk Scholer, Nick Craswell |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 67% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Student > Doctoral Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 44% |
| Business, Management and Accounting | 1 | 11% |
| Social Sciences | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 2 | 22% |