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Harnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
4 Mendeley
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Title
Harnessing the power of artificial intelligence in predicting all-cause mortality in transcatheter aortic valve replacement: a systematic review and meta-analysis
Published in
Frontiers in Cardiovascular Medicine, May 2024
DOI 10.3389/fcvm.2024.1343210
Pubmed ID
Authors

Faizus Sazzad, Ashlynn Ai Li Ler, Mohammad Shaheryar Furqan, Linus Kai Zhe Tan, Hwa Liang Leo, Ivandito Kuntjoro, Edgar Tay, Theo Kofidis

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 %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Unspecified 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 June 2024.
All research outputs
#5,039,275
of 26,179,695 outputs
Outputs from Frontiers in Cardiovascular Medicine
#849
of 9,454 outputs
Outputs of similar age
#43,790
of 222,253 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#4
of 56 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,454 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 90% 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 222,253 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 79% of its contemporaries.
We're also able to compare this research output to 56 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 92% of its contemporaries.