↓ Skip to main content

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
Altmetric Badge

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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
121 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 23%
Student > Ph. D. Student 21 17%
Student > Master 19 16%
Student > Bachelor 8 7%
Student > Doctoral Student 5 4%
Other 11 9%
Unknown 29 24%
Readers by discipline Count As %
Engineering 21 17%
Environmental Science 19 16%
Earth and Planetary Sciences 15 12%
Agricultural and Biological Sciences 12 10%
Computer Science 11 9%
Other 9 7%
Unknown 34 28%

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
#2,600,939
of 20,553,550 outputs
Outputs from Remote Sensing
#820
of 9,804 outputs
Outputs of similar age
#76,217
of 414,889 outputs
Outputs of similar age from Remote Sensing
#14
of 58 outputs
Altmetric has tracked 20,553,550 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,804 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 91% 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 414,889 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 81% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.