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Quantifying micro-environmental variation in tropical rainforest understory at landscape scale by combining airborne LiDAR scanning and a sensor network

Overview of attention for article published in Annals of Forest Science , April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
105 Mendeley
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Title
Quantifying micro-environmental variation in tropical rainforest understory at landscape scale by combining airborne LiDAR scanning and a sensor network
Published in
Annals of Forest Science , April 2017
DOI 10.1007/s13595-017-0628-z
Authors

Blaise Tymen, Grégoire Vincent, Elodie A. Courtois, Julien Heurtebize, Jean Dauzat, Isabelle Marechaux, Jérôme Chave

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Student > Master 14 13%
Researcher 12 11%
Student > Doctoral Student 7 7%
Student > Postgraduate 7 7%
Other 22 21%
Unknown 22 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 29%
Environmental Science 26 25%
Earth and Planetary Sciences 8 8%
Biochemistry, Genetics and Molecular Biology 3 3%
Engineering 3 3%
Other 8 8%
Unknown 27 26%
Attention Score in Context

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 26 June 2017.
All research outputs
#6,852,754
of 26,017,215 outputs
Outputs from Annals of Forest Science
#505
of 1,018 outputs
Outputs of similar age
#100,133
of 327,182 outputs
Outputs of similar age from Annals of Forest Science
#20
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,018 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 29th percentile – i.e., 29% 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 327,182 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 68% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.