| Title |
A validated patient-specific FSI model for vascular access in haemodialysis
|
|---|---|
| Published in |
Biomechanics and Modeling in Mechanobiology, November 2017
|
| DOI | 10.1007/s10237-017-0973-8 |
| Pubmed ID | |
| Authors |
A. M. de Villiers, A. T. McBride, B. D. Reddy, T. Franz, B. S. Spottiswoode |
| Abstract |
The flow rate inside arteriovenous fistulas is many times higher than physiological flow and is accompanied by high wall shear stress resulting in low patency rates. A fluid-structure interaction finite element model is developed to analyse the blood flow and vessel mechanics to elucidate the mechanisms that can lead to failure. The simulations are validated against flow measurements obtained from magnetic resonance imaging data. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 2 | 50% |
| Norway | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 21% |
| Student > Bachelor | 6 | 13% |
| Researcher | 6 | 13% |
| Student > Master | 4 | 9% |
| Student > Postgraduate | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 13 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 36% |
| Medicine and Dentistry | 6 | 13% |
| Psychology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 15 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 September 2022.
All research outputs
#6,486,636
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#84
of 486 outputs
Outputs of similar age
#101,962
of 327,472 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#1
of 7 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 80% 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 327,472 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them