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Is vulnerability segmentation at the leaf-stem transition a drought resistance mechanism? A theoretical test with a trait-based model for Neotropical canopy tree species

Overview of attention for article published in Annals of Forest Science , October 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Is vulnerability segmentation at the leaf-stem transition a drought resistance mechanism? A theoretical test with a trait-based model for Neotropical canopy tree species
Published in
Annals of Forest Science , October 2021
DOI 10.1007/s13595-021-01094-9
Authors

Sébastien Levionnois, Camille Ziegler, Patrick Heuret, Steven Jansen, Clément Stahl, Emma Calvet, Jean-Yves Goret, Damien Bonal, Sabrina Coste

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Other 2 12%
Student > Master 2 12%
Student > Ph. D. Student 2 12%
Student > Doctoral Student 1 6%
Other 2 12%
Unknown 3 18%
Readers by discipline Count As %
Environmental Science 5 29%
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 2 12%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 January 2022.
All research outputs
#4,316,584
of 25,392,582 outputs
Outputs from Annals of Forest Science
#367
of 942 outputs
Outputs of similar age
#90,135
of 437,020 outputs
Outputs of similar age from Annals of Forest Science
#7
of 27 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 57% 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 437,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 27 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 70% of its contemporaries.