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Feasibility of an Automatic Ultrasonographic Image Acquisition System Associated With an Artificial Intelligence Algorithm for Real-Time Monitoring of Cardiac Motion During Cardiac Radio-Ablation

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Feasibility of an Automatic Ultrasonographic Image Acquisition System Associated With an Artificial Intelligence Algorithm for Real-Time Monitoring of Cardiac Motion During Cardiac Radio-Ablation
Published in
Frontiers in Cardiovascular Medicine, April 2022
DOI 10.3389/fcvm.2022.849234
Pubmed ID
Authors

Matteo Casula, Veronica Dusi, Saskia Camps, Jérémie Gringet, Tristan Benoit, Adriano Garonna, Roberto Rordorf

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.
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Researcher 2 13%
Professor > Associate Professor 2 13%
Professor 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 7 44%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Arts and Humanities 1 6%
Unspecified 1 6%
Physics and Astronomy 1 6%
Nursing and Health Professions 1 6%
Other 2 13%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 June 2022.
All research outputs
#2,129,243
of 22,753,345 outputs
Outputs from Frontiers in Cardiovascular Medicine
#219
of 6,648 outputs
Outputs of similar age
#48,922
of 438,683 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#26
of 940 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,648 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 438,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 940 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.