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CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics

Overview of attention for article published in Frontiers in Cardiovascular Medicine, July 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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5 X users

Citations

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12 Dimensions

Readers on

mendeley
17 Mendeley
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Title
CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics
Published in
Frontiers in Cardiovascular Medicine, July 2022
DOI 10.3389/fcvm.2022.901902
Pubmed ID
Authors

Leonid Goubergrits, Katharina Vellguth, Lukas Obermeier, Adriano Schlief, Lennart Tautz, Jan Bruening, Hans Lamecker, Angelika Szengel, Olena Nemchyna, Christoph Knosalla, Titus Kuehne, Natalia Solowjowa

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Researcher 2 12%
Unspecified 1 6%
Student > Bachelor 1 6%
Lecturer > Senior Lecturer 1 6%
Other 2 12%
Unknown 7 41%
Readers by discipline Count As %
Engineering 3 18%
Computer Science 2 12%
Mathematics 1 6%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Other 0 0%
Unknown 9 53%
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 15 August 2022.
All research outputs
#14,140,645
of 23,103,436 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,718
of 7,024 outputs
Outputs of similar age
#196,398
of 435,635 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#211
of 949 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,024 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 73% 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 435,635 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 53% of its contemporaries.
We're also able to compare this research output to 949 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.