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An efficient and stabilised SPH method for large strain metal plastic deformations

Overview of attention for article published in Computational Particle Mechanics, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
24 Mendeley
Title
An efficient and stabilised SPH method for large strain metal plastic deformations
Published in
Computational Particle Mechanics, August 2019
DOI 10.1007/s40571-019-00277-6
Authors

Giorgio Greto, Sivakumar Kulasegaram

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 5 21%
Other 3 13%
Professor > Associate Professor 1 4%
Unknown 10 42%
Readers by discipline Count As %
Engineering 8 33%
Mathematics 1 4%
Arts and Humanities 1 4%
Materials Science 1 4%
Design 1 4%
Other 0 0%
Unknown 12 50%
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 15 October 2020.
All research outputs
#15,050,502
of 23,155,957 outputs
Outputs from Computational Particle Mechanics
#65
of 294 outputs
Outputs of similar age
#199,128
of 340,684 outputs
Outputs of similar age from Computational Particle Mechanics
#3
of 25 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 294 research outputs from this source. They receive a mean Attention Score of 1.2. This one has gotten more attention than average, scoring higher than 73% 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 340,684 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.