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Analysis and computer program for rupture-risk prediction of abdominal aortic aneurysms

Overview of attention for article published in BioMedical Engineering OnLine, March 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
2 patents
wikipedia
4 Wikipedia pages

Citations

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80 Dimensions

Readers on

mendeley
102 Mendeley
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Title
Analysis and computer program for rupture-risk prediction of abdominal aortic aneurysms
Published in
BioMedical Engineering OnLine, March 2006
DOI 10.1186/1475-925x-5-19
Pubmed ID
Authors

Clement Kleinstreuer, Zhonghua Li

Abstract

Ruptured abdominal aortic aneurysms (AAAs) are the 13th leading cause of death in the United States. While AAA rupture may occur without significant warning, its risk assessment is generally based on critical values of the maximum AAA diameter (> 5 cm) and AAA-growth rate (> 0.5 cm/year). These criteria may be insufficient for reliable AAA-rupture risk assessment especially when predicting possible rupture of smaller AAAs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Netherlands 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 95 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 17 17%
Student > Master 14 14%
Professor > Associate Professor 8 8%
Student > Doctoral Student 6 6%
Other 19 19%
Unknown 19 19%
Readers by discipline Count As %
Engineering 48 47%
Medicine and Dentistry 16 16%
Agricultural and Biological Sciences 5 5%
Computer Science 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 7 7%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 February 2024.
All research outputs
#4,730,854
of 22,931,367 outputs
Outputs from BioMedical Engineering OnLine
#125
of 822 outputs
Outputs of similar age
#12,595
of 69,559 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 6 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 82% 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 69,559 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 72% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.