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Pulse Decomposition Analysis of the digital arterial pulse during hemorrhage simulation

Overview of attention for article published in EPJ Nonlinear Biomedical Physics , January 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

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1 blog
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1 X user
wikipedia
1 Wikipedia page

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99 Dimensions

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137 Mendeley
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Title
Pulse Decomposition Analysis of the digital arterial pulse during hemorrhage simulation
Published in
EPJ Nonlinear Biomedical Physics , January 2011
DOI 10.1186/1753-4631-5-1
Pubmed ID
Authors

Martin C Baruch, Darren ER Warburton, Shannon SD Bredin, Anita Cote, David W Gerdt, Charles M Adkins

Abstract

Markers of temporal changes in central blood volume are required to non-invasively detect hemorrhage and the onset of hemorrhagic shock. Recent work suggests that pulse pressure may be such a marker. A new approach to tracking blood pressure, and pulse pressure specifically is presented that is based on a new form of pulse pressure wave analysis called Pulse Decomposition Analysis (PDA). The premise of the PDA model is that the peripheral arterial pressure pulse is a superposition of five individual component pressure pulses, the first of which is due to the left ventricular ejection from the heart while the remaining component pressure pulses are reflections and re-reflections that originate from only two reflection sites within the central arteries. The hypothesis examined here is that the PDA parameter T13, the timing delay between the first and third component pulses, correlates with pulse pressure.T13 was monitored along with blood pressure, as determined by an automatic cuff and another continuous blood pressure monitor, during the course of lower body negative pressure (LBNP) sessions involving four stages, -15 mmHg, -30 mmHg, -45 mmHg, and -60 mmHg, in fifteen subjects (average age: 24.4 years, SD: 3.0 years; average height: 168.6 cm, SD: 8.0 cm; average weight: 64.0 kg, SD: 9.1 kg).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 2 1%
Germany 2 1%
United States 1 <1%
South Africa 1 <1%
Unknown 131 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 24%
Student > Ph. D. Student 21 15%
Student > Master 16 12%
Other 11 8%
Student > Bachelor 9 7%
Other 18 13%
Unknown 29 21%
Readers by discipline Count As %
Engineering 48 35%
Medicine and Dentistry 27 20%
Agricultural and Biological Sciences 7 5%
Computer Science 4 3%
Physics and Astronomy 4 3%
Other 14 10%
Unknown 33 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 09 June 2021.
All research outputs
#2,813,276
of 25,394,764 outputs
Outputs from EPJ Nonlinear Biomedical Physics
#3
of 39 outputs
Outputs of similar age
#16,151
of 192,400 outputs
Outputs of similar age from EPJ Nonlinear Biomedical Physics
#1
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 4.7. This one scored the same or higher as 36 of them.
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 192,400 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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. This one has scored higher than all of them