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Automatic detection of sounds and murmurs in patients with lonescu-Shiley aortic bioprostheses

Overview of attention for article published in Medical & Biological Engineering & Computing, September 1989
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Mentioned by

patent
1 patent

Citations

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18 Dimensions

Readers on

mendeley
7 Mendeley
Title
Automatic detection of sounds and murmurs in patients with lonescu-Shiley aortic bioprostheses
Published in
Medical & Biological Engineering & Computing, September 1989
DOI 10.1007/bf02441460
Pubmed ID
Authors

H. L. Baranek, H. C. Lee, G. Cloutier, L. -G. Durand

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Other 2 29%
Professor 1 14%
Researcher 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 1 14%
Physics and Astronomy 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 3 43%
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 21 February 2006.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Medical & Biological Engineering & Computing
#547
of 2,053 outputs
Outputs of similar age
#4,048
of 13,388 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#5
of 7 outputs
Altmetric has tracked 25,374,917 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 13,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.