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Real-time estimation of respiratory rate from a photoplethysmogram using an adaptive lattice notch filter

Overview of attention for article published in BioMedical Engineering OnLine, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
108 Mendeley
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Title
Real-time estimation of respiratory rate from a photoplethysmogram using an adaptive lattice notch filter
Published in
BioMedical Engineering OnLine, December 2014
DOI 10.1186/1475-925x-13-170
Pubmed ID
Authors

Chanki Park, Boreom Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
South Africa 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Master 19 18%
Student > Ph. D. Student 13 12%
Student > Bachelor 10 9%
Other 5 5%
Other 18 17%
Unknown 24 22%
Readers by discipline Count As %
Engineering 48 44%
Computer Science 13 12%
Medicine and Dentistry 7 6%
Agricultural and Biological Sciences 2 2%
Mathematics 2 2%
Other 9 8%
Unknown 27 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 July 2022.
All research outputs
#5,446,994
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#136
of 867 outputs
Outputs of similar age
#68,447
of 347,668 outputs
Outputs of similar age from BioMedical Engineering OnLine
#6
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 82% 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 347,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 17 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 64% of its contemporaries.