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A One-Equation Local Correlation-Based Transition Model

Overview of attention for article published in Flow, Turbulence and Combustion, July 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#43 of 329)
  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
96 Mendeley
Title
A One-Equation Local Correlation-Based Transition Model
Published in
Flow, Turbulence and Combustion, July 2015
DOI 10.1007/s10494-015-9622-4
Authors

Florian R. Menter, Pavel E. Smirnov, Tao Liu, Ravikanth Avancha

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Denmark 1 1%
Russia 1 1%
Lithuania 1 1%
China 1 1%
Czechia 1 1%
Canada 1 1%
Unknown 88 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 31%
Researcher 20 21%
Student > Master 18 19%
Unspecified 7 7%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 1 1%
Readers by discipline Count As %
Engineering 72 75%
Unspecified 10 10%
Physics and Astronomy 5 5%
Energy 4 4%
Computer Science 2 2%
Other 2 2%
Unknown 1 1%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 October 2015.
All research outputs
#6,924,829
of 12,318,771 outputs
Outputs from Flow, Turbulence and Combustion
#43
of 329 outputs
Outputs of similar age
#102,544
of 241,017 outputs
Outputs of similar age from Flow, Turbulence and Combustion
#2
of 11 outputs
Altmetric has tracked 12,318,771 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 0.8. This one has done well, scoring higher than 86% 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 241,017 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 55% of its contemporaries.
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 has done particularly well, scoring higher than 90% of its contemporaries.