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The Landsat Burned Area algorithm and products for the conterminous United States

Overview of attention for article published in Remote Sensing of Environment, July 2020
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
78 Mendeley
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Title
The Landsat Burned Area algorithm and products for the conterminous United States
Published in
Remote Sensing of Environment, July 2020
DOI 10.1016/j.rse.2020.111801
Authors

Todd J. Hawbaker, Melanie K. Vanderhoof, Gail L. Schmidt, Yen-Ju Beal, Joshua J. Picotte, Joshua D. Takacs, Jeff T. Falgout, John L. Dwyer

Twitter Demographics

The data shown below were collected from the profiles of 24 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 13 17%
Student > Master 13 17%
Student > Bachelor 5 6%
Other 5 6%
Other 9 12%
Unknown 16 21%
Readers by discipline Count As %
Environmental Science 22 28%
Earth and Planetary Sciences 14 18%
Agricultural and Biological Sciences 10 13%
Engineering 5 6%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 23 29%

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 01 May 2020.
All research outputs
#1,635,917
of 18,904,345 outputs
Outputs from Remote Sensing of Environment
#389
of 2,938 outputs
Outputs of similar age
#42,451
of 288,571 outputs
Outputs of similar age from Remote Sensing of Environment
#15
of 47 outputs
Altmetric has tracked 18,904,345 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 2,938 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 86% 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 288,571 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 85% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.