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.
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X Demographics
Mendeley readers
| Title |
Recommendations for ethical and responsible use of artificial intelligence in digital agriculture
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, July 2022
|
| DOI | 10.3389/frai.2022.884192 |
| Pubmed ID | |
| Authors |
Rozita Dara, Seyed Mehdi Hazrati Fard, Jasmin Kaur |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Brazil | 1 | 33% |
| Switzerland | 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 10% |
| Student > Master | 12 | 8% |
| Unspecified | 9 | 6% |
| Researcher | 8 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Other | 24 | 17% |
| Unknown | 71 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 10% |
| Business, Management and Accounting | 10 | 7% |
| Agricultural and Biological Sciences | 9 | 6% |
| Unspecified | 9 | 6% |
| Economics, Econometrics and Finance | 7 | 5% |
| Other | 24 | 17% |
| Unknown | 71 | 49% |