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Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

Overview of attention for article published in Remote Sensing, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
149 Mendeley
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Title
Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine
Published in
Remote Sensing, December 2018
DOI 10.3390/rs10122027
Authors

Itiya Aneece, Prasad Thenkabail

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 20%
Student > Master 25 17%
Student > Ph. D. Student 22 15%
Student > Bachelor 7 5%
Student > Doctoral Student 6 4%
Other 16 11%
Unknown 43 29%
Readers by discipline Count As %
Engineering 25 17%
Environmental Science 24 16%
Earth and Planetary Sciences 16 11%
Agricultural and Biological Sciences 14 9%
Computer Science 12 8%
Other 11 7%
Unknown 47 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2020.
All research outputs
#3,802,447
of 26,388,722 outputs
Outputs from Remote Sensing
#1,368
of 14,345 outputs
Outputs of similar age
#79,178
of 450,267 outputs
Outputs of similar age from Remote Sensing
#41
of 302 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,345 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 302 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.