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Gaussian process regression approach for predicting wave attenuation through rigid vegetation

Overview of attention for article published in Applied Ocean Research, April 2024
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About this Attention Score

  • Among the highest-scoring outputs from this source (#47 of 418)
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

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5 X users

Readers on

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6 Mendeley
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Title
Gaussian process regression approach for predicting wave attenuation through rigid vegetation
Published in
Applied Ocean Research, April 2024
DOI 10.1016/j.apor.2024.103935
Authors

Kristian Ions, Alma Rahat, Dominic E. Reeve, Harshinie Karunarathna

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 %
Student > Ph. D. Student 4 67%
Unspecified 2 33%
Readers by discipline Count As %
Engineering 4 67%
Earth and Planetary Sciences 1 17%
Unspecified 1 17%
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 06 March 2024.
All research outputs
#7,733,424
of 25,424,630 outputs
Outputs from Applied Ocean Research
#47
of 418 outputs
Outputs of similar age
#16,904
of 58,642 outputs
Outputs of similar age from Applied Ocean Research
#1
of 3 outputs
Altmetric has tracked 25,424,630 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 418 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 88% 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 58,642 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 77% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them