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X Demographics
Mendeley readers
| Title |
Harnessing the potential of artificial intelligence for humanitarian action: Opportunities and risks
|
|---|---|
| Published in |
International Review of the Red Cross, April 2022
|
| DOI | 10.1017/s1816383122000261 |
| Authors |
Ana Beduschi |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 7% |
| Ethiopia | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 12 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 4 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Unspecified | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 24 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 17% |
| Unspecified | 4 | 9% |
| Engineering | 3 | 6% |
| Computer Science | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 24 | 51% |