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X Demographics
Mendeley readers
Title |
The interactive reading task: Transformer-based automatic item generation
|
---|---|
Published in |
Frontiers in Artificial Intelligence, July 2022
|
DOI | 10.3389/frai.2022.903077 |
Pubmed ID | |
Authors |
Yigal Attali, Andrew Runge, Geoffrey T. LaFlair, Kevin Yancey, Sarah Goodwin, Yena Park, Alina A. von Davier |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 56% |
Switzerland | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Researcher | 3 | 9% |
Lecturer | 2 | 6% |
Professor | 2 | 6% |
Other | 4 | 12% |
Unknown | 17 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 12% |
Psychology | 4 | 12% |
Linguistics | 2 | 6% |
Physics and Astronomy | 2 | 6% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 2 | 6% |
Unknown | 19 | 56% |