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Attention Score in Context
| Title |
4D Flow MRI‐based pressure loss estimation in stenotic flows: Evaluation using numerical simulations
|
|---|---|
| Published in |
Magnetic Resonance in Medicine, May 2015
|
| DOI | 10.1002/mrm.25772 |
| Pubmed ID | |
| Authors |
Belen Casas, Jonas Lantz, Petter Dyverfeldt, Tino Ebbers |
| Abstract |
To assess how 4D flow MRI-based pressure and energy loss estimates correspond to net transstenotic pressure gradients (TPGnet ) and their dependence on spatial resolution. Numerical velocity data of stenotic flow were obtained from computational fluid dynamics (CFD) simulations in geometries with varying stenosis degrees, poststenotic diameters and flow rates. MRI measurements were simulated at different spatial resolutions. The simplified and extended Bernoulli equations, Pressure-Poisson equation (PPE), and integration of turbulent kinetic energy (TKE) and viscous dissipation were compared against the true TPGnet . The simplified Bernoulli equation overestimated the true TPGnet (8.74 ± 0.67 versus 6.76 ± 0.54 mmHg). The extended Bernoulli equation performed better (6.57 ± 0.53 mmHg), although errors remained at low TPGnet . TPGnet estimations using the PPE were always close to zero. Total TKE and viscous dissipation correlated strongly with TPGnet for each geometry (r(2) > 0.93) and moderately considering all geometries (r(2) = 0.756 and r(2) = 0.776, respectively). TKE estimates were accurate and minorly impacted by resolution. Viscous dissipation was overall underestimated and resolution dependent. Several parameters overestimate or are not linearly related to TPGnet and/or depend on spatial resolution. Considering idealized axisymmetric geometries and in absence of noise, TPGnet was best estimated using the extended Bernoulli equation. Magn Reson Med, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 85 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 22% |
| Student > Master | 14 | 16% |
| Researcher | 11 | 13% |
| Student > Doctoral Student | 9 | 10% |
| Student > Postgraduate | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 43% |
| Medicine and Dentistry | 20 | 23% |
| Physics and Astronomy | 3 | 3% |
| Sports and Recreations | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 21 | 24% |
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 28 May 2015.
All research outputs
#16,703,088
of 24,565,648 outputs
Outputs from Magnetic Resonance in Medicine
#5,633
of 7,062 outputs
Outputs of similar age
#161,671
of 271,245 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#40
of 54 outputs
Altmetric has tracked 24,565,648 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,062 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% 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 271,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.