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Quantum-Fuzzy Expert Timeframe Predictor for Post-TAVR Monitoring

Overview of attention for article published in Mathematics, August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
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Title
Quantum-Fuzzy Expert Timeframe Predictor for Post-TAVR Monitoring
Published in
Mathematics, August 2024
DOI 10.3390/math12172625
Authors

Lilia Tightiz, Joon Yoo

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 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 2 50%
Student > Ph. D. Student 2 50%
Readers by discipline Count As %
Unspecified 2 50%
Computer Science 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2024.
All research outputs
#16,309,781
of 26,536,755 outputs
Outputs from Mathematics
#620
of 3,695 outputs
Outputs of similar age
#53,548
of 138,731 outputs
Outputs of similar age from Mathematics
#3
of 12 outputs
Altmetric has tracked 26,536,755 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,695 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done well, scoring higher than 81% 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 138,731 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.