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Diagnosing aortic valve stenosis by correlation analysis of wavelet filtered heart sounds

Overview of attention for article published in Medical & Biological Engineering & Computing, August 2005
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Mentioned by

patent
3 patents

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
11 Mendeley
Title
Diagnosing aortic valve stenosis by correlation analysis of wavelet filtered heart sounds
Published in
Medical & Biological Engineering & Computing, August 2005
DOI 10.1007/bf02344725
Pubmed ID
Authors

J. Herold, R. Schroeder, F. Nasticzky, V. Baier, A. Mix, T. Huebner, A. Voss

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 18%
United Kingdom 1 9%
Unknown 8 73%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Master 3 27%
Other 1 9%
Professor 1 9%
Lecturer 1 9%
Other 2 18%
Readers by discipline Count As %
Engineering 9 82%
Computer Science 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 June 2022.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Medical & Biological Engineering & Computing
#547
of 2,053 outputs
Outputs of similar age
#24,588
of 68,158 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#3
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 68,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.