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Heartbeat classification system based on neural networks and dimensionality reduction

Overview of attention for article published in Research on Biomedical Engineering, January 2017
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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 (94th percentile)

Mentioned by

twitter
57 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Heartbeat classification system based on neural networks and dimensionality reduction
Published in
Research on Biomedical Engineering, January 2017
DOI 10.1590/2446-4740.05815
Authors

Rodolfo de Figueiredo Dalvi, Gabriel Tozatto Zago, Rodrigo Varejão Andreão

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 22%
Student > Master 7 22%
Student > Ph. D. Student 5 16%
Researcher 2 6%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Computer Science 11 34%
Engineering 8 25%
Medicine and Dentistry 3 9%
Physics and Astronomy 1 3%
Energy 1 3%
Other 0 0%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 08 December 2018.
All research outputs
#1,139,985
of 25,563,770 outputs
Outputs from Research on Biomedical Engineering
#2
of 74 outputs
Outputs of similar age
#23,639
of 424,735 outputs
Outputs of similar age from Research on Biomedical Engineering
#1
of 3 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 424,735 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 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them