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Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model

Overview of attention for article published in Frontiers in Big Data, April 2020
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Title
Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model
Published in
Frontiers in Big Data, April 2020
DOI 10.3389/fdata.2020.00010
Authors

Iliana E. Mladenova, John D. Bolten, Wade Crow, Nazmus Sazib, Curt Reynolds

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Student > Master 10 11%
Researcher 8 9%
Student > Doctoral Student 7 8%
Student > Bachelor 5 5%
Other 13 14%
Unknown 31 33%
Readers by discipline Count As %
Engineering 18 19%
Earth and Planetary Sciences 10 11%
Environmental Science 7 8%
Agricultural and Biological Sciences 7 8%
Physics and Astronomy 2 2%
Other 8 9%
Unknown 41 44%