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An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees

Overview of attention for article published in Agricultural & Forest Meteorology, July 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets

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mendeley
1 Mendeley
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Title
An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees
Published in
Agricultural & Forest Meteorology, July 2024
DOI 10.1016/j.agrformet.2024.110098
Authors

Wei Xue, Xue-min He, Quan Wang, Pei-jun Shi, Guang-hui Lv, Jian-feng Huang, Da Yang, Jiao-lin Zhang

Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 June 2024.
All research outputs
#1,825,113
of 26,317,969 outputs
Outputs from Agricultural & Forest Meteorology
#114
of 2,368 outputs
Outputs of similar age
#13,134
of 185,861 outputs
Outputs of similar age from Agricultural & Forest Meteorology
#1
of 37 outputs
Altmetric has tracked 26,317,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 95% 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 185,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.