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Computational Modeling of Flow-Altering Surgeries in Basilar Aneurysms

Overview of attention for article published in Annals of Biomedical Engineering, October 2014
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54 Mendeley
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Article details
Title
Computational Modeling of Flow-Altering Surgeries in Basilar Aneurysms
Published in
Annals of Biomedical Engineering, October 2014
DOI 10.1007/s10439-014-1170-x
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 54 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 %
United States 1 2%
Hungary 1 2%
United Kingdom 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 8 15%
Student > Master 6 11%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 8 15%
Unknown 14 26%
Readers by discipline
Readers by discipline Count As %
Engineering 17 31%
Medicine and Dentistry 13 24%
Biochemistry, Genetics and Molecular Biology 3 6%
Computer Science 2 4%
Neuroscience 2 4%
Other 2 4%
Unknown 15 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 January 2022.
All research outputs
#21,157,205
of 25,986,827 outputs
Outputs from Annals of Biomedical Engineering
#2
of 2 outputs
Outputs of similar age
#202,558
of 275,613 outputs
Outputs of similar age from Annals of Biomedical Engineering
#19
of 25 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They receive a mean Attention Score of 3.8. This one scored the same or higher as 0 of them.
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 275,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.