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X Demographics
Mendeley readers
| Title |
SWAN
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), February 2020
|
| DOI | 10.1145/3374920.3375009 |
| Authors |
Rohit Ashok Khot, Jung-Ying Yi, Deepti Aggarwal |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Philippines | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 32% |
| Student > Ph. D. Student | 8 | 29% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Design | 8 | 29% |
| Computer Science | 8 | 29% |
| Arts and Humanities | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unknown | 9 | 32% |