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A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
guideline
1 clinical guideline source

Readers on

mendeley
226 Mendeley
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Article details
Title
A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm
Published in
Biomechanics and Modeling in Mechanobiology, April 2017
DOI 10.1007/s10237-017-0903-9
Pubmed ID
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 226 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 %
Unknown 226 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 42 19%
Researcher 30 13%
Student > Master 22 10%
Student > Bachelor 13 6%
Student > Doctoral Student 12 5%
Other 29 13%
Unknown 78 35%
Readers by discipline
Readers by discipline Count As %
Engineering 67 30%
Medicine and Dentistry 24 11%
Computer Science 16 7%
Agricultural and Biological Sciences 3 1%
Neuroscience 3 1%
Other 20 9%
Unknown 93 41%
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 26 February 2024.
All research outputs
#8,997,608
of 27,145,244 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#135
of 555 outputs
Outputs of similar age
#126,599
of 330,069 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#6
of 15 outputs
Altmetric has tracked 27,145,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 555 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 330,069 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 60% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.