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Computational fluid dynamic modelling to determine the hemodynamic effects of implanting a transcatheter mitral valve within the left ventricle

Overview of attention for article published in The International Journal of Cardiovascular Imaging, November 2017
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Mentioned by

facebook
1 Facebook page

Citations

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4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Computational fluid dynamic modelling to determine the hemodynamic effects of implanting a transcatheter mitral valve within the left ventricle
Published in
The International Journal of Cardiovascular Imaging, November 2017
DOI 10.1007/s10554-017-1276-y
Pubmed ID
Authors

Adelaide de Vecchi, Steven Niederer, Júlia Karády, Ioannis Ntalas, Pál Maurovich-Horvat, Ronak Rajani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Ph. D. Student 4 20%
Student > Bachelor 2 10%
Professor > Associate Professor 2 10%
Student > Master 1 5%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Medicine and Dentistry 8 40%
Engineering 5 25%
Computer Science 1 5%
Materials Science 1 5%
Unspecified 1 5%
Other 0 0%
Unknown 4 20%
Attention Score in Context

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 17 November 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,460
of 2,012 outputs
Outputs of similar age
#296,044
of 336,988 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#34
of 43 outputs
Altmetric has tracked 25,382,440 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 2,012 research outputs from this source. They receive a mean Attention Score of 2.3. 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 336,988 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 43 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.