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Integration of remote sensing and bioclimatic data for prediction of invasive species distribution in data-poor regions: a review on challenges and opportunities

Overview of attention for article published in this source, November 2020
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1 policy source

Citations

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52 Mendeley
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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

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Student > Master 7 13%
Researcher 6 12%
Lecturer 2 4%
Other 2 4%
Other 4 8%
Unknown 17 33%
Readers by discipline Count As %
Environmental Science 13 25%
Agricultural and Biological Sciences 8 15%
Engineering 5 10%
Earth and Planetary Sciences 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 2 4%
Unknown 18 35%