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A machine learning model to predict yield surfaces from crystal plasticity simulations

Overview of attention for article published in International Journal of Plasticity, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
27 Mendeley
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Title
A machine learning model to predict yield surfaces from crystal plasticity simulations
Published in
International Journal of Plasticity, February 2023
DOI 10.1016/j.ijplas.2022.103507
Authors

Anderson Nascimento, Sharan Roongta, Martin Diehl, Irene J. Beyerlein

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Other 3 11%
Student > Doctoral Student 3 11%
Researcher 2 7%
Other 6 22%
Unknown 5 19%
Readers by discipline Count As %
Engineering 12 44%
Materials Science 5 19%
Unspecified 1 4%
Social Sciences 1 4%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 January 2023.
All research outputs
#15,184,741
of 25,394,764 outputs
Outputs from International Journal of Plasticity
#126
of 210 outputs
Outputs of similar age
#203,349
of 471,974 outputs
Outputs of similar age from International Journal of Plasticity
#2
of 4 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 210 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 39th percentile – i.e., 39% 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 471,974 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 54% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.