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Potential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimates

Overview of attention for article published in Remote Sensing, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Readers on

mendeley
169 Mendeley
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Article details
Title
Potential of ALOS2 and NDVI to Estimate Forest Above-Ground Biomass, and Comparison with Lidar-Derived Estimates
Published in
Remote Sensing, December 2016
DOI 10.3390/rs9010018
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Belgium 1 <1%
Unknown 168 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 27 16%
Student > Master 24 14%
Researcher 17 10%
Student > Doctoral Student 11 7%
Student > Bachelor 10 6%
Other 25 15%
Unknown 55 33%
Readers by discipline
Readers by discipline Count As %
Environmental Science 37 22%
Agricultural and Biological Sciences 25 15%
Earth and Planetary Sciences 22 13%
Engineering 12 7%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 7 4%
Unknown 64 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 December 2016.
All research outputs
#7,445,143
of 22,925,760 outputs
Outputs from Remote Sensing
#3,146
of 11,386 outputs
Outputs of similar age
#139,772
of 421,122 outputs
Outputs of similar age from Remote Sensing
#52
of 208 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,386 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 71% 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 421,122 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 66% of its contemporaries.
We're also able to compare this research output to 208 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 73% of its contemporaries.