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X Demographics
Mendeley readers
| Title |
AI Data-Driven Personalisation and Disability Inclusion
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2021
|
| DOI | 10.3389/frai.2020.571955 |
| Pubmed ID | |
| Authors |
Mike Wald |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 15 | 27% |
| Student > Master | 5 | 9% |
| Lecturer | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 24 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 15 | 27% |
| Social Sciences | 4 | 7% |
| Computer Science | 4 | 7% |
| Engineering | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 25 | 45% |