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A hybrid Lagrangian Voronoi–SPH scheme

Overview of attention for article published in Computational Particle Mechanics, November 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#14 of 299)
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
10 Mendeley
Title
A hybrid Lagrangian Voronoi–SPH scheme
Published in
Computational Particle Mechanics, November 2017
DOI 10.1007/s40571-017-0173-4
Authors

D. Fernandez-Gutierrez, A. Souto-Iglesias, T. I. Zohdi

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Other 1 10%
Student > Bachelor 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Engineering 5 50%
Materials Science 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 November 2017.
All research outputs
#6,112,309
of 24,363,506 outputs
Outputs from Computational Particle Mechanics
#14
of 299 outputs
Outputs of similar age
#94,414
of 335,375 outputs
Outputs of similar age from Computational Particle Mechanics
#2
of 7 outputs
Altmetric has tracked 24,363,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 299 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 95% 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 335,375 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 71% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.