The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Editorial: Artificial intelligence methods for the water- environment-food-energy nexus
|
|---|---|
| Published in |
Frontiers in Environmental Science, January 2023
|
| DOI | 10.3389/fenvs.2022.1118406 |
| Authors |
Zhong-kai Feng, Shi-ping Wen, Wen-jing Niu |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 14% |
| Agricultural and Biological Sciences | 1 | 14% |
| Earth and Planetary Sciences | 1 | 14% |
| Social Sciences | 1 | 14% |
| Engineering | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |