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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
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
41 X users

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
262 Mendeley
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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 A. Parks, Lisa M. Holsinger, Morgan A. Voss, Rachel A. Loehman, Nathaniel P. Robinson

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 262 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 21%
Student > Master 43 16%
Student > Ph. D. Student 37 14%
Student > Bachelor 19 7%
Student > Doctoral Student 12 5%
Other 29 11%
Unknown 68 26%
Readers by discipline Count As %
Environmental Science 71 27%
Agricultural and Biological Sciences 45 17%
Earth and Planetary Sciences 30 11%
Engineering 19 7%
Social Sciences 2 <1%
Other 9 3%
Unknown 86 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 29 September 2022.
All research outputs
#1,453,998
of 25,269,846 outputs
Outputs from Remote Sensing
#341
of 13,183 outputs
Outputs of similar age
#30,631
of 336,697 outputs
Outputs of similar age from Remote Sensing
#9
of 210 outputs
Altmetric has tracked 25,269,846 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,183 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 336,697 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.