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Performance evaluation of convolution neural networks in canopy height estimation using sentinel 2 data, application to Thailand

Overview of attention for article published in International Journal of Remote Sensing, March 2023
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
19 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Performance evaluation of convolution neural networks in canopy height estimation using sentinel 2 data, application to Thailand
Published in
International Journal of Remote Sensing, March 2023
DOI 10.1080/01431161.2023.2189035
Authors

Tamer ElGharbawi, Junichi Susaki, Kamolratn Chureesampant, Chomchanok Arunplod, Juthasinee Thanyapraneedkul, Ponthip Limlahapun, Amany Suliman

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 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 %
Librarian 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Arts and Humanities 1 17%
Earth and Planetary Sciences 1 17%
Social Sciences 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 April 2023.
All research outputs
#2,600,245
of 25,663,438 outputs
Outputs from International Journal of Remote Sensing
#62
of 2,205 outputs
Outputs of similar age
#51,137
of 423,760 outputs
Outputs of similar age from International Journal of Remote Sensing
#2
of 95 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,205 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 98% 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 423,760 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 87% of its contemporaries.
We're also able to compare this research output to 95 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.