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Comparison of Semi-Physical and Empirical Models in the Estimation of Boreal Forest Leaf Area Index and Clumping With Airborne Laser Scanning Data

Overview of attention for article published in IEEE Transactions on Geoscience and Remote Sensing, January 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
6 Mendeley
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Title
Comparison of Semi-Physical and Empirical Models in the Estimation of Boreal Forest Leaf Area Index and Clumping With Airborne Laser Scanning Data
Published in
IEEE Transactions on Geoscience and Remote Sensing, January 2024
DOI 10.1109/tgrs.2024.3353410
Authors

Shaohui Zhang, Lauri Korhonen, Mait Lang, Jan Pisek, Gastón M. Díaz, Ilkka Korpela, Zhongyu Xia, Hanna Haapala, Matti Maltamo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Environmental Science 2 33%
Unspecified 1 17%
Unknown 3 50%
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 09 February 2024.
All research outputs
#8,536,428
of 25,394,764 outputs
Outputs from IEEE Transactions on Geoscience and Remote Sensing
#797
of 3,060 outputs
Outputs of similar age
#104,886
of 324,747 outputs
Outputs of similar age from IEEE Transactions on Geoscience and Remote Sensing
#5
of 21 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,060 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 73% 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 324,747 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 67% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.