The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
Exploring gender biases in ML and AI academic research through systematic literature review
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2022
|
| DOI | 10.3389/frai.2022.976838 |
| Pubmed ID | |
| Authors |
Sunny Shrestha, Sanchari Das |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Andorra | 1 | 13% |
| Sweden | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 13% |
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 8 | 11% |
| Unspecified | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 4 | 6% |
| Unknown | 31 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 11% |
| Unspecified | 6 | 8% |
| Social Sciences | 5 | 7% |
| Engineering | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 36 | 51% |