↓ Skip to main content

Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest

Overview of attention for article published in Forests, August 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
111 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest
Published in
Forests, August 2017
DOI 10.3390/f8090322
Authors

Benjamin Bright, Andrew Hudak, Arjan Meddens, Todd Hawbaker, Jennifer Briggs, Robert Kennedy

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 19%
Researcher 17 15%
Student > Ph. D. Student 16 14%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Other 12 11%
Unknown 30 27%
Readers by discipline Count As %
Environmental Science 32 29%
Agricultural and Biological Sciences 14 13%
Earth and Planetary Sciences 13 12%
Engineering 9 8%
Unspecified 1 <1%
Other 4 4%
Unknown 38 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 October 2017.
All research outputs
#6,762,416
of 25,088,711 outputs
Outputs from Forests
#742
of 4,427 outputs
Outputs of similar age
#97,784
of 321,093 outputs
Outputs of similar age from Forests
#18
of 60 outputs
Altmetric has tracked 25,088,711 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,427 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 82% 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 321,093 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 69% 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 gotten more attention than average, scoring higher than 71% of its contemporaries.