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Serial electrocardiography to detect newly emerging or aggravating cardiac pathology: a deep-learning approach

Overview of attention for article published in BioMedical Engineering OnLine, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
patent
2 patents

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
65 Mendeley
Title
Serial electrocardiography to detect newly emerging or aggravating cardiac pathology: a deep-learning approach
Published in
BioMedical Engineering OnLine, February 2019
DOI 10.1186/s12938-019-0630-9
Pubmed ID
Authors

Agnese Sbrollini, Marjolein C. De Jongh, C. Cato Ter Haar, Roderick W. Treskes, Sumche Man, Laura Burattini, Cees A. Swenne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Bachelor 10 15%
Researcher 7 11%
Student > Master 6 9%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 18 28%
Readers by discipline Count As %
Engineering 14 22%
Computer Science 11 17%
Medicine and Dentistry 10 15%
Nursing and Health Professions 2 3%
Chemical Engineering 1 2%
Other 3 5%
Unknown 24 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 September 2022.
All research outputs
#3,034,741
of 23,372,207 outputs
Outputs from BioMedical Engineering OnLine
#65
of 832 outputs
Outputs of similar age
#75,953
of 448,963 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 12 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 832 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 91% 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 448,963 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 82% 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 83% of its contemporaries.