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Generalized reproducing kernel peridynamics: unification of local and non-local meshfree methods, non-local derivative operations, and an arbitrary-order state-based peridynamic formulation

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

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 294)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
26 Mendeley
Title
Generalized reproducing kernel peridynamics: unification of local and non-local meshfree methods, non-local derivative operations, and an arbitrary-order state-based peridynamic formulation
Published in
Computational Particle Mechanics, September 2019
DOI 10.1007/s40571-019-00266-9
Authors

Michael Hillman, Marco Pasetto, Guohua Zhou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Student > Master 1 4%
Other 1 4%
Unknown 10 38%
Readers by discipline Count As %
Engineering 11 42%
Psychology 1 4%
Materials Science 1 4%
Design 1 4%
Unknown 12 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 May 2020.
All research outputs
#4,207,352
of 23,155,957 outputs
Outputs from Computational Particle Mechanics
#7
of 294 outputs
Outputs of similar age
#82,284
of 340,590 outputs
Outputs of similar age from Computational Particle Mechanics
#1
of 23 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 294 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 97% 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 340,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.