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Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort

Overview of attention for article published in Frontiers in Cardiovascular Medicine, January 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
4 Mendeley
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Title
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort
Published in
Frontiers in Cardiovascular Medicine, January 2024
DOI 10.3389/fcvm.2023.1170804
Pubmed ID
Authors

Per Niklas Waaler, Hasse Melbye, Henrik Schirmer, Markus Kreutzer Johnsen, Tom Donnem, Johan Ravn, Stian Andersen, Anne Herefoss Davidsen, Juan Carlos Aviles Solis, Michael Stylidis, Lars Ailo Bongo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 25%
Student > Bachelor 1 25%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%
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 24 February 2024.
All research outputs
#19,824,546
of 25,235,400 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,686
of 9,064 outputs
Outputs of similar age
#99,585
of 154,968 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#47
of 196 outputs
Altmetric has tracked 25,235,400 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,064 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% 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 154,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 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 71% of its contemporaries.