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Cloud detection algorithm comparison and validation for operational Landsat data products

Overview of attention for article published in Remote Sensing of Environment, June 2017
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
21 tweeters

Citations

dimensions_citation
241 Dimensions

Readers on

mendeley
360 Mendeley
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Title
Cloud detection algorithm comparison and validation for operational Landsat data products
Published in
Remote Sensing of Environment, June 2017
DOI 10.1016/j.rse.2017.03.026
Authors

Steve Foga, Pat L. Scaramuzza, Song Guo, Zhe Zhu, Ronald D. Dilley, Tim Beckmann, Gail L. Schmidt, John L. Dwyer, M. Joseph Hughes, Brady Laue

Twitter Demographics

The data shown below were collected from the profiles of 21 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 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 359 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 90 25%
Student > Master 76 21%
Researcher 48 13%
Student > Doctoral Student 28 8%
Student > Bachelor 23 6%
Other 43 12%
Unknown 52 14%
Readers by discipline Count As %
Earth and Planetary Sciences 84 23%
Environmental Science 79 22%
Engineering 29 8%
Agricultural and Biological Sciences 28 8%
Computer Science 27 8%
Other 27 8%
Unknown 86 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 April 2017.
All research outputs
#1,152,426
of 14,539,092 outputs
Outputs from Remote Sensing of Environment
#264
of 2,168 outputs
Outputs of similar age
#33,784
of 265,453 outputs
Outputs of similar age from Remote Sensing of Environment
#8
of 52 outputs
Altmetric has tracked 14,539,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,168 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% 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 265,453 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 87% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.