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A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data

Overview of attention for article published in Forestry: an International Journal of Forest Research, March 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
102 Mendeley
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Article details
Title
A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data
Published in
Forestry: an International Journal of Forest Research, March 2016
DOI 10.1093/forestry/cpw016
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 7 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 102 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 %
United States 1 <1%
Estonia 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 98 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 17%
Student > Ph. D. Student 14 14%
Researcher 11 11%
Student > Bachelor 9 9%
Student > Postgraduate 7 7%
Other 19 19%
Unknown 25 25%
Readers by discipline
Readers by discipline Count As %
Environmental Science 18 18%
Agricultural and Biological Sciences 18 18%
Earth and Planetary Sciences 14 14%
Engineering 14 14%
Medicine and Dentistry 2 2%
Other 4 4%
Unknown 32 31%
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 06 September 2018.
All research outputs
#11,155,963
of 34,410,315 outputs
Outputs from Forestry: an International Journal of Forest Research
#312
of 924 outputs
Outputs of similar age
#115,355
of 337,667 outputs
Outputs of similar age from Forestry: an International Journal of Forest Research
#4
of 13 outputs
Altmetric has tracked 34,410,315 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 924 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 66% 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 337,667 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 65% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.