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X Demographics
Mendeley readers
| Title |
Explainability as the key ingredient for AI adoption in Industry 5.0 settings
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, December 2023
|
| DOI | 10.3389/frai.2023.1264372 |
| Pubmed ID | |
| Authors |
Carlos Agostinho, Zoumpolia Dikopoulou, Eleni Lavasa, Konstantinos Perakis, Stamatis Pitsios, Rui Branco, Sangeetha Reji, Jonas Hetterich, Evmorfia Biliri, Fenareti Lampathaki, Silvia Rodríguez Del Rey, Vasileios Gkolemis |
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 % |
|---|---|---|
| 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 19 | 54% |
| Researcher | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 19 | 54% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Social Sciences | 1 | 3% |
| Unknown | 11 | 31% |