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Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure

Overview of attention for article published in Remote Sensing of Environment, March 2017
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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 (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
193 Mendeley
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Title
Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
Published in
Remote Sensing of Environment, March 2017
DOI 10.1016/j.rse.2016.12.022
Authors

T. Ryan McCarley, Crystal A. Kolden, Nicole M. Vaillant, Andrew T. Hudak, Alistair M.S. Smith, Brian M. Wing, Bryce S. Kellogg, Jason Kreitler

Twitter Demographics

The data shown below were collected from the profiles of 8 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Brazil 1 <1%
Unknown 191 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 18%
Researcher 32 17%
Student > Ph. D. Student 26 13%
Student > Bachelor 13 7%
Other 12 6%
Other 27 14%
Unknown 48 25%
Readers by discipline Count As %
Environmental Science 53 27%
Agricultural and Biological Sciences 25 13%
Earth and Planetary Sciences 23 12%
Engineering 14 7%
Computer Science 4 2%
Other 16 8%
Unknown 58 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 May 2017.
All research outputs
#5,737,417
of 22,947,506 outputs
Outputs from Remote Sensing of Environment
#1,378
of 3,364 outputs
Outputs of similar age
#92,561
of 311,220 outputs
Outputs of similar age from Remote Sensing of Environment
#17
of 52 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,364 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 58% 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 311,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 52 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 67% of its contemporaries.