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ECG signal classification based on deep CNN and BiLSTM

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
ECG signal classification based on deep CNN and BiLSTM
Published in
BMC Medical Informatics and Decision Making, December 2021
DOI 10.1186/s12911-021-01736-y
Pubmed ID
Authors

Jinyong Cheng, Qingxu Zou, Yunxiang Zhao

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 17%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Student > Doctoral Student 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 10 43%
Readers by discipline Count As %
Engineering 6 26%
Unspecified 4 17%
Computer Science 2 9%
Nursing and Health Professions 1 4%
Unknown 10 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 December 2021.
All research outputs
#6,411,532
of 22,780,165 outputs
Outputs from BMC Medical Informatics and Decision Making
#614
of 1,985 outputs
Outputs of similar age
#144,274
of 497,624 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 59 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 67% 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 497,624 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 70% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.