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Reducing the error in biomass estimates strongly depends on model selection

Overview of attention for article published in Annals of Forest Science , November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

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64 Dimensions

Readers on

mendeley
117 Mendeley
Title
Reducing the error in biomass estimates strongly depends on model selection
Published in
Annals of Forest Science , November 2014
DOI 10.1007/s13595-014-0434-9
Authors

Nicolas Picard, Faustin Boyemba Bosela, Vivien Rossi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 2%
Malaysia 1 <1%
Spain 1 <1%
South Africa 1 <1%
Unknown 112 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 21%
Researcher 17 15%
Student > Ph. D. Student 14 12%
Student > Doctoral Student 10 9%
Student > Bachelor 6 5%
Other 20 17%
Unknown 25 21%
Readers by discipline Count As %
Environmental Science 38 32%
Agricultural and Biological Sciences 35 30%
Earth and Planetary Sciences 5 4%
Engineering 2 2%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 4 3%
Unknown 32 27%
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 31 May 2022.
All research outputs
#7,388,118
of 25,461,852 outputs
Outputs from Annals of Forest Science
#707
of 944 outputs
Outputs of similar age
#94,270
of 369,248 outputs
Outputs of similar age from Annals of Forest Science
#2
of 18 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 944 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 369,248 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 73% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.