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Overview of the Constitutive Model and Numerical Calibration by FEM to Compute Bearing Capacity and Embankment-Core Deformability

Overview of attention for article published in Ingeniería e Investigación, July 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
5 Mendeley
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Title
Overview of the Constitutive Model and Numerical Calibration by FEM to Compute Bearing Capacity and Embankment-Core Deformability
Published in
Ingeniería e Investigación, July 2021
DOI 10.15446/ing.investig.v42n1.93712
Authors

Milena Mesa Lavista, Francisco Lamas-Fernández, Eduardo Tejeda-Piusseaut, Rafael Bravo-Pareja, Carolina Cabrera-González, José Álvarez-Pérez

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 40%
Unknown 3 60%
Readers by discipline Count As %
Engineering 2 40%
Unknown 3 60%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 July 2021.
All research outputs
#13,319,192
of 20,027,474 outputs
Outputs from Ingeniería e Investigación
#26
of 45 outputs
Outputs of similar age
#196,229
of 340,233 outputs
Outputs of similar age from Ingeniería e Investigación
#1
of 1 outputs
Altmetric has tracked 20,027,474 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 45 research outputs from this source. They receive a mean Attention Score of 1.5. This one scored the same or higher as 19 of them.
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 340,233 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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