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.
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X Demographics
Mendeley readers
Title |
Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
|
---|---|
Published in |
Frontiers in Artificial Intelligence, July 2022
|
DOI | 10.3389/frai.2022.931182 |
Pubmed ID | |
Authors |
Lubna Daraz, Bebe S. Chang, Sheila Bouseh |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 15% |
Student > Ph. D. Student | 2 | 10% |
Unspecified | 1 | 5% |
Lecturer | 1 | 5% |
Student > Doctoral Student | 1 | 5% |
Other | 0 | 0% |
Unknown | 12 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 2 | 10% |
Computer Science | 2 | 10% |
Unspecified | 1 | 5% |
Engineering | 1 | 5% |
Unknown | 14 | 70% |