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Transitions in large eddy simulation of box turbulence

Overview of attention for article published in The European Physical Journal - Special Topics, October 2018
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Mentioned by

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1 tweeter

Citations

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2 Dimensions

Readers on

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1 Mendeley
Title
Transitions in large eddy simulation of box turbulence
Published in
The European Physical Journal - Special Topics, October 2018
DOI 10.1140/epjst/e2018-00107-8
Authors

Lennaert van Veen, Genta Kawahara, Tatsuya Yasuda

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Engineering 1 100%

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 08 November 2017.
All research outputs
#10,742,188
of 12,114,099 outputs
Outputs from The European Physical Journal - Special Topics
#488,362
of 612,593 outputs
Outputs of similar age
#239,207
of 285,229 outputs
Outputs of similar age from The European Physical Journal - Special Topics
#29,461
of 32,485 outputs
Altmetric has tracked 12,114,099 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 612,593 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 285,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32,485 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.