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Evaluation of Computational Methodologies for Accurate Prediction of Wall Shear Stress and Turbulence Parameters in a Patient-Specific Aorta

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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5 X users

Citations

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14 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Evaluation of Computational Methodologies for Accurate Prediction of Wall Shear Stress and Turbulence Parameters in a Patient-Specific Aorta
Published in
Frontiers in Bioengineering and Biotechnology, March 2022
DOI 10.3389/fbioe.2022.836611
Pubmed ID
Authors

Emily Louise Manchester, Selene Pirola, Mohammad Yousuf Salmasi, Declan P. O’Regan, Thanos Athanasiou, Xiao Yun Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Unspecified 2 9%
Student > Bachelor 2 9%
Lecturer 2 9%
Student > Ph. D. Student 2 9%
Other 1 5%
Unknown 10 45%
Readers by discipline Count As %
Engineering 5 23%
Unspecified 2 9%
Mathematics 1 5%
Unknown 14 64%
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 23 February 2023.
All research outputs
#6,924,899
of 23,415,749 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,066
of 7,031 outputs
Outputs of similar age
#138,326
of 441,640 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#63
of 642 outputs
Altmetric has tracked 23,415,749 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,031 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% 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 441,640 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 68% of its contemporaries.
We're also able to compare this research output to 642 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.