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Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings

Overview of attention for article published in BioMedical Engineering OnLine, August 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

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22 Mendeley
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Title
Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings
Published in
BioMedical Engineering OnLine, August 2012
DOI 10.1186/1475-925x-11-46
Pubmed ID
Authors

Raúl Alcaraz, José Joaquín Rieta

Abstract

Atrial fibrillation (AF) is the most common supraventricular arrhythmia in the clinical practice, being the subject of intensive research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Master 3 14%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Professor 2 9%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Engineering 9 41%
Medicine and Dentistry 5 23%
Psychology 1 5%
Physics and Astronomy 1 5%
Unknown 6 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 August 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#459
of 867 outputs
Outputs of similar age
#123,149
of 184,939 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 33rd percentile – i.e., 33% 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 184,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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 57% of its contemporaries.