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Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations

Overview of attention for article published in Medical & Biological Engineering & Computing, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

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16 Dimensions

Readers on

mendeley
67 Mendeley
Title
Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations
Published in
Medical & Biological Engineering & Computing, January 2013
DOI 10.1007/s11517-012-1027-0
Pubmed ID
Authors

J. Weese, A. Groth, H. Nickisch, H. Barschdorf, F. M. Weber, J. Velut, M. Castro, C. Toumoulin, J. L. Coatrieux, M. De Craene, G. Piella, C. Tobón-Gomez, A. F. Frangi, D. C. Barber, I. Valverde, Y. Shi, C. Staicu, A. Brown, P. Beerbaum, D. R. Hose

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Austria 1 1%
United Kingdom 1 1%
New Zealand 1 1%
Spain 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 12 18%
Student > Master 11 16%
Professor > Associate Professor 6 9%
Student > Doctoral Student 5 7%
Other 13 19%
Unknown 4 6%
Readers by discipline Count As %
Engineering 21 31%
Medicine and Dentistry 13 19%
Computer Science 10 15%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 2 3%
Other 8 12%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 July 2016.
All research outputs
#7,960,693
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#522
of 2,053 outputs
Outputs of similar age
#80,715
of 290,719 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 9 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. 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 290,719 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 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.