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Effect of non-linearity in predicting doppler waveforms through a novel model

Overview of attention for article published in BioMedical Engineering OnLine, September 2003
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Mentioned by

patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Effect of non-linearity in predicting doppler waveforms through a novel model
Published in
BioMedical Engineering OnLine, September 2003
DOI 10.1186/1475-925x-2-16
Pubmed ID
Authors

Aman Gayasen, Sunil Kumar Dua, Amit Sengupta, D Nagchoudhuri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Student > Bachelor 3 15%
Student > Ph. D. Student 3 15%
Other 2 10%
Researcher 2 10%
Other 3 15%
Unknown 3 15%
Readers by discipline Count As %
Medicine and Dentistry 10 50%
Engineering 2 10%
Physics and Astronomy 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Sports and Recreations 1 5%
Other 1 5%
Unknown 4 20%
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 16 November 2016.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from BioMedical Engineering OnLine
#212
of 824 outputs
Outputs of similar age
#17,631
of 51,350 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 2 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 51,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.