↓ Skip to main content

Getting the most from venous occlusion plethysmography: proposed methods for the analysis of data with a rest/exercise protocol

Overview of attention for article published in Extreme Physiology & Medicine, June 2015
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Getting the most from venous occlusion plethysmography: proposed methods for the analysis of data with a rest/exercise protocol
Published in
Extreme Physiology & Medicine, June 2015
DOI 10.1186/s13728-015-0027-8
Pubmed ID
Authors

Stephen Wythe, Thomas Davies, Daniel Martin, Martin Feelisch, Edward Gilbert-Kawai

Abstract

Venous occlusion plethysmography is a simple yet powerful technique for the non-invasive measurement of blood flow. It has been used extensively in both the experimental and clinical settings. The underlying rationale is that when venous outflow from an extremity is occluded, any immediate increase in volume of this compartment must originate from the on-going arterial inflow. Mercury-in-silastic strain gauges are typically used to measure these volume changes, the rates of which are directly proportional to blood flow. When using a simple rest/exercise protocol to provide a local or systemic metabolic stimulus to increase blood flow, current methods for analysing the data obtained are often rather simplistic, solely considering the mean increment in blood flow induced by exercise. Previous methodological considerations have focused mainly on issues of reproducibility and accuracy (for instance, by comparing unilateral and/or bilateral measurements) but rarely on what the recorded traces may actually mean. In this methodological manuscript, we suggest a more detailed approach to processing venous occlusion plethysmography data, one which could provide additional physiological information. Six parameters are described, all of which are easily derived from a simple and reproducible experimental rest/exercise venous occlusion plethysmography protocol.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Bachelor 8 14%
Student > Master 6 10%
Researcher 5 9%
Student > Doctoral Student 5 9%
Other 13 22%
Unknown 12 21%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Sports and Recreations 8 14%
Agricultural and Biological Sciences 7 12%
Engineering 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 12%
Unknown 13 22%
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 11 August 2015.
All research outputs
#13,076,734
of 22,811,321 outputs
Outputs from Extreme Physiology & Medicine
#66
of 106 outputs
Outputs of similar age
#121,152
of 266,419 outputs
Outputs of similar age from Extreme Physiology & Medicine
#3
of 5 outputs
Altmetric has tracked 22,811,321 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 106 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.5. This one is in the 37th percentile – i.e., 37% 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 266,419 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 54% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.