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Emerging fractal patterns in a real 3D cerebral aneurysm

Overview of attention for article published in Journal of Theoretical Biology, January 2015
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Title
Emerging fractal patterns in a real 3D cerebral aneurysm
Published in
Journal of Theoretical Biology, January 2015
DOI 10.1016/j.jtbi.2015.01.004
Pubmed ID
Authors

Gábor Závodszky, György Károlyi, György Paál

Abstract

The behaviour of biological fluid flows is often investigated in medical practice to draw conclusions on the physiological or pathological conditions of the considered organs. One area where such investigations are proven to be useful is the flow-related formation and growth of different pathologic malformations of the cerebro-vascular system. In this work, a detailed study is presented on the effect of a cerebral aneurysm on blood transport inside a human brain artery segment. This malformation causes strong flow instabilities that drives the flow system towards chaotic behaviour. The emerging fractal structure and some of its measurable properties have been explored using a method that makes the measurement of these properties feasible even in complicated large three dimensional data sets. We find that, from the investigated chaos parameters, the information dimension turns out to be the most reliable parameter to characterise chaotic advection in the vicinity of the aneurysm sac. We propose that properties of chaotic mixing close to aneurysms might be relevant for the condition of this pathologic malformation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Student > Bachelor 4 12%
Other 3 9%
Professor > Associate Professor 3 9%
Other 7 21%
Unknown 5 15%
Readers by discipline Count As %
Engineering 11 32%
Medicine and Dentistry 4 12%
Physics and Astronomy 3 9%
Computer Science 2 6%
Nursing and Health Professions 1 3%
Other 5 15%
Unknown 8 24%
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 17 January 2015.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Journal of Theoretical Biology
#3,005
of 4,010 outputs
Outputs of similar age
#252,891
of 359,790 outputs
Outputs of similar age from Journal of Theoretical Biology
#34
of 48 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 359,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.