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Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling

Overview of attention for article published in International Journal of Plasticity, May 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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14 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Deep active learning for constitutive modelling of granular materials: From representative volume elements to implicit finite element modelling
Published in
International Journal of Plasticity, May 2023
DOI 10.1016/j.ijplas.2023.103576
Authors

Tongming Qu, Shaoheng Guan, Y.T. Feng, Gang Ma, Wei Zhou, Jidong Zhao

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Student > Doctoral Student 4 11%
Researcher 3 8%
Student > Ph. D. Student 3 8%
Lecturer > Senior Lecturer 2 5%
Other 6 16%
Unknown 14 38%
Readers by discipline Count As %
Engineering 13 35%
Materials Science 3 8%
Environmental Science 2 5%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 1 3%
Unknown 16 43%
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 18 March 2023.
All research outputs
#15,532,577
of 25,394,764 outputs
Outputs from International Journal of Plasticity
#129
of 210 outputs
Outputs of similar age
#194,484
of 407,379 outputs
Outputs of similar age from International Journal of Plasticity
#3
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 36th percentile – i.e., 36% 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 407,379 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 50% of its contemporaries.
We're also able to compare this research output to 5 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.