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X Demographics
Mendeley readers
| Title |
Computational Modeling of Stereotype Content in Text
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2022
|
| DOI | 10.3389/frai.2022.826207 |
| Pubmed ID | |
| Authors |
Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Student > Bachelor | 2 | 13% |
| Professor | 2 | 13% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 20% |
| Psychology | 3 | 20% |
| Computer Science | 2 | 13% |
| Social Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 33% |