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X Demographics
Mendeley readers
Title |
Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification
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Published in |
Frontiers in Forests and Global Change, October 2022
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DOI | 10.3389/ffgc.2022.876448 |
Authors |
Jonathan Williams, Toby D. Jackson, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi Habibi, Elva Gemita, David A. Coomes |
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 % |
---|---|---|
United Kingdom | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 21% |
Student > Master | 5 | 17% |
Lecturer | 2 | 7% |
Student > Doctoral Student | 1 | 3% |
Professor | 1 | 3% |
Other | 3 | 10% |
Unknown | 11 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 31% |
Earth and Planetary Sciences | 2 | 7% |
Engineering | 2 | 7% |
Social Sciences | 2 | 7% |
Mathematics | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 41% |