You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
| Title |
A combined approach for early in-field detection of beech leaf disease using near-infrared spectroscopy and machine learning
|
|---|---|
| Published in |
Frontiers in Forests and Global Change, July 2022
|
| DOI | 10.3389/ffgc.2022.934545 |
| Authors |
Carrie J. Fearer, Anna O. Conrad, Robert E. Marra, Caroline Georskey, Caterina Villari, Jason Slot, Pierluigi Bonello |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Researcher | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 25% |
| Environmental Science | 2 | 10% |
| Engineering | 1 | 5% |
| Unknown | 12 | 60% |