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A local adaptive discretization algorithm for Smoothed Particle Hydrodynamics

Overview of attention for article published in Computational Particle Mechanics, April 2014
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Mentioned by

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2 X users

Citations

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28 Dimensions

Readers on

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31 Mendeley
Title
A local adaptive discretization algorithm for Smoothed Particle Hydrodynamics
Published in
Computational Particle Mechanics, April 2014
DOI 10.1007/s40571-014-0015-6
Authors

Fabian Spreng, Dirk Schnabel, Alexandra Mueller, Peter Eberhard

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

Geographical breakdown

Country Count As %
Germany 2 6%
Brazil 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 35%
Student > Doctoral Student 5 16%
Student > Master 3 10%
Researcher 3 10%
Professor 2 6%
Other 2 6%
Unknown 5 16%
Readers by discipline Count As %
Engineering 17 55%
Computer Science 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Mathematics 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 8 26%
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 25 June 2014.
All research outputs
#15,301,167
of 22,756,196 outputs
Outputs from Computational Particle Mechanics
#78
of 292 outputs
Outputs of similar age
#134,247
of 227,508 outputs
Outputs of similar age from Computational Particle Mechanics
#3
of 11 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 292 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 64% 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 227,508 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.