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Mapping burned areas using dense time-series of Landsat data

Overview of attention for article published in Remote Sensing of Environment, September 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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
16 tweeters

Citations

dimensions_citation
101 Dimensions

Readers on

mendeley
246 Mendeley
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Title
Mapping burned areas using dense time-series of Landsat data
Published in
Remote Sensing of Environment, September 2017
DOI 10.1016/j.rse.2017.06.027
Authors

Todd J. Hawbaker, Melanie K. Vanderhoof, Yen-Ju Beal, Joshua D. Takacs, Gail L. Schmidt, Jeff T. Falgout, Brad Williams, Nicole M. Fairaux, Megan K. Caldwell, Joshua J. Picotte, Stephen M. Howard, Susan Stitt, John L. Dwyer

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 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 246 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 53 22%
Student > Master 51 21%
Student > Ph. D. Student 36 15%
Student > Bachelor 15 6%
Student > Doctoral Student 13 5%
Other 33 13%
Unknown 45 18%
Readers by discipline Count As %
Environmental Science 79 32%
Earth and Planetary Sciences 45 18%
Agricultural and Biological Sciences 20 8%
Engineering 19 8%
Computer Science 5 2%
Other 16 7%
Unknown 62 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 January 2021.
All research outputs
#1,996,669
of 18,993,549 outputs
Outputs from Remote Sensing of Environment
#497
of 2,949 outputs
Outputs of similar age
#42,928
of 275,989 outputs
Outputs of similar age from Remote Sensing of Environment
#10
of 60 outputs
Altmetric has tracked 18,993,549 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,949 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 83% 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 275,989 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 84% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.