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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
211 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 23%
Student > Master 41 19%
Student > Ph. D. Student 34 16%
Student > Doctoral Student 12 6%
Student > Bachelor 12 6%
Other 29 14%
Unknown 34 16%
Readers by discipline Count As %
Environmental Science 68 32%
Earth and Planetary Sciences 41 19%
Agricultural and Biological Sciences 17 8%
Engineering 17 8%
Computer Science 5 2%
Other 15 7%
Unknown 48 23%

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 04 March 2019.
All research outputs
#1,875,168
of 14,437,320 outputs
Outputs from Remote Sensing of Environment
#463
of 2,153 outputs
Outputs of similar age
#51,188
of 264,133 outputs
Outputs of similar age from Remote Sensing of Environment
#14
of 58 outputs
Altmetric has tracked 14,437,320 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 2,153 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 78% 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 264,133 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 80% 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 75% of its contemporaries.