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Forced expiration measurements in mouse models of obstructive and restrictive lung diseases

Overview of attention for article published in Respiratory Research, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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6 X users
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1 patent

Citations

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93 Dimensions

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120 Mendeley
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Title
Forced expiration measurements in mouse models of obstructive and restrictive lung diseases
Published in
Respiratory Research, June 2017
DOI 10.1186/s12931-017-0610-1
Pubmed ID
Authors

Fien C. Devos, André Maaske, Annette Robichaud, Lore Pollaris, Sven Seys, Carolina Aznar Lopez, Erik Verbeken, Matthias Tenbusch, Rik Lories, Benoit Nemery, Peter HM Hoet, Jeroen AJ Vanoirbeek

Abstract

Pulmonary function measurements are important when studying respiratory disease models. Both resistance and compliance have been used to assess lung function in mice. Yet, it is not always clear how these parameters relate to forced expiration (FE)-related parameters, most commonly used in humans. We aimed to characterize FE measurements in four well-established mouse models of lung diseases. Detailed respiratory mechanics and FE measurements were assessed concurrently in Balb/c mice, using the forced oscillation and negative pressure-driven forced expiration techniques, respectively. Measurements were performed at baseline and following increasing methacholine challenges in control Balb/c mice as well as in four disease models: bleomycin-induced fibrosis, elastase-induced emphysema, LPS-induced acute lung injury and house dust mite-induced asthma. Respiratory mechanics parameters (airway resistance, tissue damping and tissue elastance) confirmed disease-specific phenotypes either at baseline or following methacholine challenge. Similarly, lung function defects could be detected in each disease model by at least one FE-related parameter (FEV0.1, FEF0.1, FVC, FEV0.1/FVC ratio and PEF) at baseline or during the methacholine provocation assay. FE-derived outcomes in four mouse disease models behaved similarly to changes found in human spirometry. Routine combined lung function assessments could increase the translational utility of mouse models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Researcher 17 14%
Student > Doctoral Student 10 8%
Student > Bachelor 10 8%
Professor 5 4%
Other 18 15%
Unknown 37 31%
Readers by discipline Count As %
Medicine and Dentistry 21 18%
Biochemistry, Genetics and Molecular Biology 18 15%
Pharmacology, Toxicology and Pharmaceutical Science 9 8%
Agricultural and Biological Sciences 6 5%
Immunology and Microbiology 6 5%
Other 15 13%
Unknown 45 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 2023.
All research outputs
#6,277,581
of 25,382,440 outputs
Outputs from Respiratory Research
#739
of 3,062 outputs
Outputs of similar age
#92,271
of 329,774 outputs
Outputs of similar age from Respiratory Research
#26
of 65 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 75% 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 329,774 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 71% of its contemporaries.
We're also able to compare this research output to 65 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 60% of its contemporaries.