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Direct Numerical Simulation of Laminar-Turbulent Transition in a Non-Axisymmetric Stenosis Model for Newtonian vs. Shear-Thinning Non-Newtonian Rheologies

Overview of attention for article published in Applied Scientific Research, Section B, April 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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34 Dimensions

Readers on

mendeley
38 Mendeley
Title
Direct Numerical Simulation of Laminar-Turbulent Transition in a Non-Axisymmetric Stenosis Model for Newtonian vs. Shear-Thinning Non-Newtonian Rheologies
Published in
Applied Scientific Research, Section B, April 2018
DOI 10.1007/s10494-018-9905-7
Authors

M. O. Khan, K. Valen-Sendstad, D. A. Steinman

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Doctoral Student 4 11%
Student > Bachelor 3 8%
Unspecified 3 8%
Researcher 3 8%
Other 5 13%
Unknown 12 32%
Readers by discipline Count As %
Engineering 16 42%
Unspecified 3 8%
Medicine and Dentistry 3 8%
Computer Science 1 3%
Mathematics 1 3%
Other 1 3%
Unknown 13 34%
Attention Score in Context

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 30 April 2018.
All research outputs
#16,728,456
of 25,382,440 outputs
Outputs from Applied Scientific Research, Section B
#163
of 597 outputs
Outputs of similar age
#208,944
of 339,976 outputs
Outputs of similar age from Applied Scientific Research, Section B
#3
of 21 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 597 research outputs from this source. They receive a mean Attention Score of 1.1. This one has gotten more attention than average, scoring higher than 72% 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 339,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.