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Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential

Overview of attention for article published in Remote Sensing, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
63 Mendeley
Title
Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
Published in
Remote Sensing, June 2018
DOI 10.3390/rs10060879
Authors

Sean Parks, Lisa Holsinger, Morgan Voss, Rachel Loehman, Nathaniel Robinson

Twitter Demographics

The data shown below were collected from the profiles of 14 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 27%
Researcher 15 24%
Student > Ph. D. Student 9 14%
Unspecified 7 11%
Student > Bachelor 5 8%
Other 10 16%
Readers by discipline Count As %
Environmental Science 27 43%
Agricultural and Biological Sciences 12 19%
Unspecified 12 19%
Earth and Planetary Sciences 7 11%
Engineering 4 6%
Other 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 December 2018.
All research outputs
#1,892,109
of 13,043,953 outputs
Outputs from Remote Sensing
#410
of 4,138 outputs
Outputs of similar age
#60,337
of 270,273 outputs
Outputs of similar age from Remote Sensing
#28
of 152 outputs
Altmetric has tracked 13,043,953 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,138 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 270,273 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 77% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.