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A convolutional neural network approach to detect congestive heart failure

Overview of attention for article published in Biomedical Signal Processing and Control, January 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 1,587)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
21 news outlets
blogs
2 blogs
twitter
94 X users
facebook
1 Facebook page
reddit
9 Redditors

Readers on

mendeley
215 Mendeley
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Article details
Title
A convolutional neural network approach to detect congestive heart failure
Published in
Biomedical Signal Processing and Control, January 2020
DOI 10.1016/j.bspc.2019.101597
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 94 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 215 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 33 15%
Student > Master 23 11%
Student > Ph. D. Student 20 9%
Student > Bachelor 16 7%
Other 12 6%
Other 22 10%
Unknown 89 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 43 20%
Engineering 38 18%
Medicine and Dentistry 16 7%
Agricultural and Biological Sciences 4 2%
Nursing and Health Professions 3 1%
Other 16 7%
Unknown 95 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 241. 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 23 July 2022.
All research outputs
#196,422
of 34,309,480 outputs
Outputs from Biomedical Signal Processing and Control
#1
of 1,587 outputs
Outputs of similar age
#3,863
of 522,274 outputs
Outputs of similar age from Biomedical Signal Processing and Control
#1
of 27 outputs
Altmetric has tracked 34,309,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 522,274 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 99% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.