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X Demographics
Mendeley readers
| Title |
Developing a Conversational Agent’s Capability to Identify Structural Wrongness in Arguments Based on Toulmin’s Model of Arguments
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, November 2021
|
| DOI | 10.3389/frai.2021.645516 |
| Pubmed ID | |
| Authors |
Behzad Mirzababaei, Viktoria Pammer-Schindler |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Student > Master | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 10% |
| Engineering | 2 | 10% |
| Physics and Astronomy | 1 | 5% |
| Linguistics | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 62% |