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Yield Prediction Model for Potato Using Landsat Time Series Images Driven Vegetation Indices

Overview of attention for article published in Remote Sensing in Earth Systems Sciences, November 2018
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1 X user

Citations

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Readers on

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40 Mendeley
Title
Yield Prediction Model for Potato Using Landsat Time Series Images Driven Vegetation Indices
Published in
Remote Sensing in Earth Systems Sciences, November 2018
DOI 10.1007/s41976-018-0006-0
Authors

Imran Hossain Newton, A. F. M Tariqul Islam, A. K. M. Saiful Islam, G. M. Tarekul Islam, Anika Tahsin, Sadmina Razzaque

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 25%
Researcher 7 18%
Student > Ph. D. Student 5 13%
Student > Bachelor 2 5%
Student > Postgraduate 2 5%
Other 5 13%
Unknown 9 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Environmental Science 6 15%
Earth and Planetary Sciences 4 10%
Nursing and Health Professions 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2018.
All research outputs
#21,006,069
of 23,636,051 outputs
Outputs from Remote Sensing in Earth Systems Sciences
#1
of 1 outputs
Outputs of similar age
#308,254
of 353,027 outputs
Outputs of similar age from Remote Sensing in Earth Systems Sciences
#1
of 1 outputs
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