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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Timeline
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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 147 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 10% |
Student > Master | 12 | 8% |
Unspecified | 11 | 7% |
Researcher | 8 | 5% |
Student > Doctoral Student | 7 | 5% |
Other | 24 | 16% |
Unknown | 71 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 10% |
Unspecified | 11 | 7% |
Business, Management and Accounting | 10 | 7% |
Agricultural and Biological Sciences | 9 | 6% |
Economics, Econometrics and Finance | 7 | 5% |
Other | 24 | 16% |
Unknown | 71 | 48% |