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Digital Subtraction Phonocardiography (DSP) applied to the detection and characterization of heart murmurs

Overview of attention for article published in BioMedical Engineering OnLine, December 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
Title
Digital Subtraction Phonocardiography (DSP) applied to the detection and characterization of heart murmurs
Published in
BioMedical Engineering OnLine, December 2011
DOI 10.1186/1475-925x-10-109
Pubmed ID
Authors

Mohammad Ali Akbari, Kamran Hassani, John D Doyle, Mahdi Navidbakhsh, Maryam Sangargir, Kourosh Bajelani, Zahra Sadat Ahmadi

Abstract

During the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of additional sounds, called murmurs. Murmurs are random in nature, while the underlying heart sounds are not (being deterministic).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
India 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Bachelor 8 16%
Lecturer 5 10%
Researcher 5 10%
Student > Ph. D. Student 5 10%
Other 14 29%
Unknown 4 8%
Readers by discipline Count As %
Engineering 20 41%
Medicine and Dentistry 10 20%
Computer Science 5 10%
Physics and Astronomy 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 3 6%
Unknown 7 14%
Attention Score in Context

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 07 December 2017.
All research outputs
#7,169,070
of 22,660,862 outputs
Outputs from BioMedical Engineering OnLine
#194
of 821 outputs
Outputs of similar age
#67,644
of 243,104 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 22 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 243,104 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 71% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.