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X Demographics
Mendeley readers
| Title |
Human-like problem-solving abilities in large language models using ChatGPT
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, May 2023
|
| DOI | 10.3389/frai.2023.1199350 |
| Pubmed ID | |
| Authors |
Graziella Orrù, Andrea Piarulli, Ciro Conversano, Angelo Gemignani |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 13 | 11% |
| Professor > Associate Professor | 8 | 7% |
| Student > Ph. D. Student | 6 | 5% |
| Student > Doctoral Student | 5 | 4% |
| Student > Bachelor | 5 | 4% |
| Other | 16 | 14% |
| Unknown | 64 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 9 | 8% |
| Computer Science | 8 | 7% |
| Medicine and Dentistry | 5 | 4% |
| Engineering | 5 | 4% |
| Linguistics | 4 | 3% |
| Other | 20 | 17% |
| Unknown | 66 | 56% |