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Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP

Overview of attention for article published in Soil Dynamics & Earthquake Engineering, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP
Published in
Soil Dynamics & Earthquake Engineering, February 2023
DOI 10.1016/j.soildyn.2022.107662
Authors

Kaushik Jas, G.R. Dodagoudar

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 13 33%
Student > Bachelor 4 10%
Lecturer 2 5%
Student > Master 2 5%
Professor > Associate Professor 2 5%
Other 5 13%
Unknown 11 28%
Readers by discipline Count As %
Unspecified 13 33%
Engineering 11 28%
Earth and Planetary Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Other 1 3%
Unknown 10 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 May 2023.
All research outputs
#13,781,203
of 23,477,147 outputs
Outputs from Soil Dynamics & Earthquake Engineering
#143
of 284 outputs
Outputs of similar age
#160,529
of 418,671 outputs
Outputs of similar age from Soil Dynamics & Earthquake Engineering
#2
of 6 outputs
Altmetric has tracked 23,477,147 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 418,671 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 61% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.