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Recovering shear stiffness degradation curves from classification data with a neural network approach

Overview of attention for article published in Acta Geotechnica, May 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#12 of 105)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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6 X users

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Recovering shear stiffness degradation curves from classification data with a neural network approach
Published in
Acta Geotechnica, May 2023
DOI 10.1007/s11440-023-01879-4
Authors

Jared A. Charles, Susan Gourvenec, Mark E. Vardy

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 May 2023.
All research outputs
#5,946,806
of 23,773,824 outputs
Outputs from Acta Geotechnica
#12
of 105 outputs
Outputs of similar age
#55,921
of 235,241 outputs
Outputs of similar age from Acta Geotechnica
#1
of 2 outputs
Altmetric has tracked 23,773,824 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 89% 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 235,241 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 76% of its contemporaries.
We're also able to compare this research output to 2 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