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A Validated Model for Sudden Cardiac Death Risk Prediction in Pediatric Hypertrophic Cardiomyopathy

Overview of attention for article published in Circulation, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
111 X users
facebook
1 Facebook page

Readers on

mendeley
149 Mendeley
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Title
A Validated Model for Sudden Cardiac Death Risk Prediction in Pediatric Hypertrophic Cardiomyopathy
Published in
Circulation, May 2020
DOI 10.1161/circulationaha.120.047235
Pubmed ID
Authors

Anastasia Miron, Myriam Lafreniere-Roula, Chun-Po Steve Fan, Katey R. Armstrong, Andreea Dragulescu, Tanya Papaz, Cedric Manlhiot, Beth Kaufman, Ryan J. Butts, Letizia Gardin, Elizabeth A. Stephenson, Taylor S. Howard, Pete F. Aziz, Seshadri Balaji, Virginie Beauséjour Ladouceur, Lee N. Benson, Steven D. Colan, Justin Godown, Heather T. Henderson, Jodie Ingles, Aamir Jeewa, John L. Jefferies, Ashwin K. Lal, Jacob Mathew, Emilie Jean-St-Michel, Michelle Michels, Stephanie J. Nakano, Iacopo Olivotto, John J. Parent, Alexandre C. Pereira, Christopher Semsarian, Robert D. Whitehill, Samuel G. Wittekind, Mark W. Russell, Jennifer Conway, Marc E. Richmond, Chet Villa, Robert G. Weintraub, Joseph W. Rossano, Paul F. Kantor, Carolyn Y. Ho, Seema Mital

X Demographics

X Demographics

The data shown below were collected from the profiles of 111 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Other 29 19%
Researcher 12 8%
Student > Bachelor 12 8%
Student > Postgraduate 11 7%
Student > Ph. D. Student 9 6%
Other 21 14%
Unknown 55 37%
Readers by discipline Count As %
Medicine and Dentistry 70 47%
Agricultural and Biological Sciences 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Business, Management and Accounting 2 1%
Computer Science 2 1%
Other 11 7%
Unknown 59 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 10 May 2024.
All research outputs
#596,263
of 25,874,560 outputs
Outputs from Circulation
#1,581
of 21,304 outputs
Outputs of similar age
#18,450
of 426,194 outputs
Outputs of similar age from Circulation
#55
of 187 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.3. This one has done particularly well, scoring higher than 92% 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 426,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.