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Numerical simulation of evolutionary erodible bedforms using the particle finite element method

Overview of attention for article published in Computational Particle Mechanics, July 2016
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1 X user

Citations

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Readers on

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6 Mendeley
Title
Numerical simulation of evolutionary erodible bedforms using the particle finite element method
Published in
Computational Particle Mechanics, July 2016
DOI 10.1007/s40571-016-0121-8
Authors

Rafael Bravo, Pablo Becker, Pablo Ortiz

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 4 67%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 July 2016.
All research outputs
#18,465,704
of 22,880,230 outputs
Outputs from Computational Particle Mechanics
#113
of 293 outputs
Outputs of similar age
#271,186
of 355,479 outputs
Outputs of similar age from Computational Particle Mechanics
#3
of 12 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 38th percentile – i.e., 38% 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 355,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.