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Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms

Overview of attention for article published in Frontiers in Physiology, November 2019
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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4 X users

Readers on

mendeley
88 Mendeley
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Title
Formulas to Explain Popular Oscillometric Blood Pressure Estimation Algorithms
Published in
Frontiers in Physiology, November 2019
DOI 10.3389/fphys.2019.01415
Pubmed ID
Authors

Anand Chandrasekhar, Mohammad Yavarimanesh, Jin-Oh Hahn, Shih-Hsien Sung, Chen-Huan Chen, Hao-Min Cheng, Ramakrishna Mukkamala

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Bachelor 8 9%
Researcher 6 7%
Student > Master 6 7%
Professor 5 6%
Other 13 15%
Unknown 35 40%
Readers by discipline Count As %
Engineering 27 31%
Medicine and Dentistry 5 6%
Biochemistry, Genetics and Molecular Biology 2 2%
Agricultural and Biological Sciences 2 2%
Computer Science 2 2%
Other 11 13%
Unknown 39 44%
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 06 February 2024.
All research outputs
#15,064,116
of 26,415,999 outputs
Outputs from Frontiers in Physiology
#4,724
of 15,863 outputs
Outputs of similar age
#234,757
of 482,361 outputs
Outputs of similar age from Frontiers in Physiology
#94
of 248 outputs
Altmetric has tracked 26,415,999 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,863 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 69% 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 482,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 248 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 61% of its contemporaries.