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Forced oscillations and respiratory system modeling in adults with cystic fibrosis

Overview of attention for article published in BioMedical Engineering OnLine, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 850)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 news outlet
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1 X user
patent
4 patents

Citations

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32 Dimensions

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32 Mendeley
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Title
Forced oscillations and respiratory system modeling in adults with cystic fibrosis
Published in
BioMedical Engineering OnLine, February 2015
DOI 10.1186/s12938-015-0007-7
Pubmed ID
Authors

Adma N Lima, Alvaro C D Faria, Agnaldo J Lopes, José M Jansen, Pedro L Melo

Abstract

The Forced Oscillation Technique (FOT) has the potential to increase our knowledge about the biomechanical changes that occur in Cystic Fibrosis (CF). Thus, the aims of this study were to investigate changes in the resistive and reactive properties of the respiratory systems of adults with CF. The study was conducted in a group of 27 adults with CF over 18 years old and a control group of 23 healthy individuals, both of which were assessed by the FOT, plethysmography and spirometry. An equivalent electrical circuit model was also used to quantify biomechanical changes and to gain physiological insight. The CF adults presented an increased total respiratory resistance (p < 0.0001), increased resistance curve slope (p < 0.0006) and reduced dynamic compliance (p < 0.0001). In close agreement with the physiology of CF, the model analysis showed increased peripheral resistance (p < 0.0005) and reduced compliance (p < 0.0004) and inertance (p < 0.005). Significant reasonable to good correlations were observed between the resistive parameters and spirometric and plethysmographic indexes. Similar associations were observed for the reactive parameters. Peripheral resistance, obtained by the model analysis, presented reasonable (R = 0.35) to good (R = 0.64) relationships with plethysmographic parameters. The FOT adequately assessed the biomechanical changes associated with CF. The model used provides sensitive indicators of lung function and has the capacity to differentiate between obstructed and non-obstructed airway conditions. The FOT shows great potential for the clinical assessment of respiratory mechanics in adults with CF.

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

Geographical breakdown

Country Count As %
Hungary 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Student > Doctoral Student 3 9%
Researcher 3 9%
Other 6 19%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 14 44%
Nursing and Health Professions 3 9%
Engineering 3 9%
Computer Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 June 2023.
All research outputs
#1,770,991
of 24,220,739 outputs
Outputs from BioMedical Engineering OnLine
#30
of 850 outputs
Outputs of similar age
#26,315
of 366,923 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 27 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 850 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 366,923 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 92% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.