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The electronic stethoscope

Overview of attention for article published in BioMedical Engineering OnLine, July 2015
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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 (#8 of 862)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
9 news outlets
policy
1 policy source
twitter
5 X users
patent
2 patents
facebook
1 Facebook page
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
199 Dimensions

Readers on

mendeley
433 Mendeley
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Title
The electronic stethoscope
Published in
BioMedical Engineering OnLine, July 2015
DOI 10.1186/s12938-015-0056-y
Pubmed ID
Authors

Shuang Leng, Ru San Tan, Kevin Tshun Chuan Chai, Chao Wang, Dhanjoo Ghista, Liang Zhong

Abstract

Most heart diseases are associated with and reflected by the sounds that the heart produces. Heart auscultation, defined as listening to the heart sound, has been a very important method for the early diagnosis of cardiac dysfunction. Traditional auscultation requires substantial clinical experience and good listening skills. The emergence of the electronic stethoscope has paved the way for a new field of computer-aided auscultation. This article provides an in-depth study of (1) the electronic stethoscope technology, and (2) the methodology for diagnosis of cardiac disorders based on computer-aided auscultation. The paper is based on a comprehensive review of (1) literature articles, (2) market (state-of-the-art) products, and (3) smartphone stethoscope apps. It covers in depth every key component of the computer-aided system with electronic stethoscope, from sensor design, front-end circuitry, denoising algorithm, heart sound segmentation, to the final machine learning techniques. Our intent is to provide an informative and illustrative presentation of the electronic stethoscope, which is valuable and beneficial to academics, researchers and engineers in the technical field, as well as to medical professionals to facilitate its use clinically. The paper provides the technological and medical basis for the development and commercialization of a real-time integrated heart sound detection, acquisition and quantification system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 433 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Netherlands 1 <1%
Ghana 1 <1%
United Kingdom 1 <1%
Iceland 1 <1%
Mexico 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 425 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 67 15%
Student > Master 53 12%
Student > Ph. D. Student 41 9%
Researcher 40 9%
Lecturer 22 5%
Other 74 17%
Unknown 136 31%
Readers by discipline Count As %
Engineering 151 35%
Medicine and Dentistry 36 8%
Computer Science 27 6%
Agricultural and Biological Sciences 11 3%
Nursing and Health Professions 9 2%
Other 55 13%
Unknown 144 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 12 February 2024.
All research outputs
#523,472
of 25,130,202 outputs
Outputs from BioMedical Engineering OnLine
#8
of 862 outputs
Outputs of similar age
#5,736
of 268,699 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 19 outputs
Altmetric has tracked 25,130,202 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 268,699 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 97% of its contemporaries.
We're also able to compare this research output to 19 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 99% of its contemporaries.