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Timeline
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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 12% |
Student > Master | 9 | 12% |
Unspecified | 8 | 11% |
Student > Ph. D. Student | 8 | 11% |
Student > Bachelor | 5 | 7% |
Other | 4 | 5% |
Unknown | 31 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 9 | 12% |
Computer Science | 8 | 11% |
Social Sciences | 5 | 7% |
Engineering | 3 | 4% |
Business, Management and Accounting | 2 | 3% |
Other | 11 | 15% |
Unknown | 36 | 49% |