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An improved Baldwin–Lomax algebraic wall model for high-speed canonical turbulent boundary layers using established scalings

Overview of attention for article published in Journal of Fluid Mechanics, May 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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4 X users

Readers on

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1 Mendeley
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Title
An improved Baldwin–Lomax algebraic wall model for high-speed canonical turbulent boundary layers using established scalings
Published in
Journal of Fluid Mechanics, May 2024
DOI 10.1017/jfm.2024.383
Authors

Xianliang Chen, Jianping Gan, Lin Fu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 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 %
Professor 1 100%
Readers by discipline Count As %
Physics and Astronomy 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 May 2024.
All research outputs
#8,395,768
of 25,904,557 outputs
Outputs from Journal of Fluid Mechanics
#988
of 6,884 outputs
Outputs of similar age
#45,156
of 147,694 outputs
Outputs of similar age from Journal of Fluid Mechanics
#10
of 94 outputs
Altmetric has tracked 25,904,557 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,884 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% 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 147,694 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 69% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.