| Title |
Integration of remote sensing and bioclimatic data for prediction of invasive species distribution in data-poor regions: a review on challenges and opportunities
|
|---|---|
| Published by |
Springer Nature, November 2020
|
| DOI | 10.1186/s40068-020-00195-0 |
| Authors |
Nurhussen Ahmed, Clement Atzberger, Worku Zewdie |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Student > Master | 7 | 14% |
| Researcher | 6 | 12% |
| Lecturer | 2 | 4% |
| Other | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 12 | 24% |
| Agricultural and Biological Sciences | 8 | 16% |
| Engineering | 5 | 10% |
| Earth and Planetary Sciences | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 18 | 35% |