You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of Reynolds stress components and turbulent pressure loss using 4D flow MRI with extended motion encoding
|
|---|---|
| Published in |
Magnetic Resonance in Medicine, July 2017
|
| DOI | 10.1002/mrm.26853 |
| Pubmed ID | |
| Authors |
Henrik Haraldsson, Sarah Kefayati, Sinyeob Ahn, Petter Dyverfeldt, Jonas Lantz, Matts Karlsson, Gerhard Laub, Tino Ebbers, David Saloner |
| Abstract |
To measure the Reynolds stress tensor using 4D flow MRI, and to evaluate its contribution to computed pressure maps. A method to assess both velocity and Reynolds stress using 4D flow MRI is presented and evaluated. The Reynolds stress is compared by cross-sectional integrals of the Reynolds stress invariants. Pressure maps are computed using the pressure Poisson equation-both including and neglecting the Reynolds stress. Good agreement is seen for Reynolds stress between computational fluid dynamics, simulated MRI, and MRI experiment. The Reynolds stress can significantly influence the computed pressure loss for simulated (eg, -0.52% vs -15.34% error; P < 0.001) and experimental (eg, 306 ± 11 vs 203 ± 6 Pa; P < 0.001) data. A 54% greater pressure loss is seen at the highest experimental flow rate when accounting for Reynolds stress (P < 0.001). 4D flow MRI with extended motion-encoding enables quantification of both the velocity and the Reynolds stress tensor. The additional information provided by this method improves the assessment of pressure gradients across a stenosis in the presence of turbulence. Unlike conventional methods, which are only valid if the flow is laminar, the proposed method is valid for both laminar and disturbed flow, a common presentation in diseased vessels. Magn Reson Med, 2017. © 2017 International Society for Magnetic Resonance in Medicine. |
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 % |
|---|---|---|
| Unknown | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Researcher | 6 | 14% |
| Student > Bachelor | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 52% |
| Medicine and Dentistry | 9 | 21% |
| Agricultural and Biological Sciences | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Sports and Recreations | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 8 | 19% |
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 27 July 2017.
All research outputs
#20,440,241
of 22,994,508 outputs
Outputs from Magnetic Resonance in Medicine
#6,068
of 6,846 outputs
Outputs of similar age
#276,793
of 317,089 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#68
of 115 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,846 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 317,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.