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4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics

Overview of attention for article published in Frontiers in Physics, May 2020
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
145 Mendeley
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Title
4DFlowNet: Super-Resolution 4D Flow MRI Using Deep Learning and Computational Fluid Dynamics
Published in
Frontiers in Physics, May 2020
DOI 10.3389/fphy.2020.00138
Authors

Edward Ferdian, Avan Suinesiaputra, David J. Dubowitz, Debbie Zhao, Alan Wang, Brett Cowan, Alistair A. Young

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 22%
Researcher 17 12%
Student > Master 14 10%
Student > Bachelor 10 7%
Unspecified 9 6%
Other 22 15%
Unknown 41 28%
Readers by discipline Count As %
Engineering 49 34%
Unspecified 10 7%
Medicine and Dentistry 10 7%
Computer Science 9 6%
Physics and Astronomy 6 4%
Other 6 4%
Unknown 55 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 May 2020.
All research outputs
#13,989,733
of 23,206,358 outputs
Outputs from Frontiers in Physics
#471
of 3,649 outputs
Outputs of similar age
#199,865
of 381,406 outputs
Outputs of similar age from Frontiers in Physics
#26
of 142 outputs
Altmetric has tracked 23,206,358 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,649 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% 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 381,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.