↓ Skip to main content

Bench and mathematical modeling of the effects of breathing a helium/oxygen mixture on expiratory time constants in the presence of heterogeneous airway obstructions

Overview of attention for article published in BioMedical Engineering OnLine, May 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
20 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
Bench and mathematical modeling of the effects of breathing a helium/oxygen mixture on expiratory time constants in the presence of heterogeneous airway obstructions
Published in
BioMedical Engineering OnLine, May 2012
DOI 10.1186/1475-925x-11-27
Pubmed ID
Authors

Andrew R Martin, Ira M Katz, Karine Terzibachi, Laure Gouinaud, Georges Caillibotte, Joëlle Texereau

Abstract

Expiratory time constants are used to quantify emptying of the lung as a whole, and emptying of individual lung compartments. Breathing low-density helium/oxygen mixtures may modify regional time constants so as to redistribute ventilation, potentially reducing gas trapping and hyperinflation for patients with obstructive lung disease. In the present work, bench and mathematical models of the lung were used to study the influence of heterogeneous patterns of obstruction on compartmental and whole-lung time constants.

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 20%
Professor > Associate Professor 4 20%
Lecturer 2 10%
Researcher 2 10%
Professor 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 8 40%
Engineering 2 10%
Nursing and Health Professions 1 5%
Mathematics 1 5%
Unknown 8 40%
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 31 May 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#139,732
of 178,898 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 13 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 15th percentile – i.e., 15% 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 178,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.