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Subgrid-Scale Stress Modelling Based on the Square of the Velocity Gradient Tensor

Overview of attention for article published in Flow, Turbulence and Combustion, September 1999
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  • Among the highest-scoring outputs from this source (#44 of 108)

Mentioned by

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1 X user

Readers on

mendeley
1131 Mendeley
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2 CiteULike
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Article details
Title
Subgrid-Scale Stress Modelling Based on the Square of the Velocity Gradient Tensor
Published in
Flow, Turbulence and Combustion, September 1999
DOI 10.1023/a:1009995426001
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 7 <1%
France 6 <1%
United States 5 <1%
Italy 3 <1%
Russia 2 <1%
Germany 2 <1%
Turkey 1 <1%
Netherlands 1 <1%
Finland 1 <1%
Other 4 <1%
Unknown 1099 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 343 30%
Researcher 127 11%
Student > Master 123 11%
Student > Doctoral Student 65 6%
Student > Bachelor 33 3%
Other 125 11%
Unknown 315 28%
Readers by discipline
Readers by discipline Count As %
Engineering 567 50%
Energy 29 3%
Physics and Astronomy 26 2%
Chemical Engineering 26 2%
Mathematics 16 1%
Other 76 7%
Unknown 391 35%
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 24 July 2021.
All research outputs
#18,783,831
of 27,263,163 outputs
Outputs from Flow, Turbulence and Combustion
#44
of 108 outputs
Outputs of similar age
#36,208
of 38,814 outputs
Outputs of similar age from Flow, Turbulence and Combustion
#1
of 1 outputs
Altmetric has tracked 27,263,163 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 108 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 59% 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 38,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them