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Mathematical modeling of ventilation defects in asthma

Overview of attention for article published in Drug Discovery Today: Disease Models, April 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 120)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Readers on

mendeley
20 Mendeley
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Article details
Title
Mathematical modeling of ventilation defects in asthma
Published in
Drug Discovery Today: Disease Models, April 2014
DOI 10.1016/j.ddmod.2014.02.008
Pubmed ID
Authors
Abstract

Airway narrowing by smooth muscle constriction is a hallmark of asthma attacks that may cause severe difficulties of breathing. However, the causes of asthma and the underlying mechanisms are not fully understood. Bronchoconstriction within a bronchial tree involves complex interactions among the airways that lead to the emergence of regions of poor ventilation (ventilation defects, VDefs) in the lungs. The emphasis of this review is on mathematical modeling of the mechanisms involved in bronchoconstriction and the emergence of the complex airway behavior that leads to VDefs. Additionally, the review discusses characteristic model behaviors and experimental data to demonstrate advances and limitations of different models.

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Luxembourg 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Postgraduate 3 15%
Other 2 10%
Student > Bachelor 2 10%
Professor 2 10%
Other 2 10%
Unknown 5 25%
Readers by discipline
Readers by discipline Count As %
Engineering 6 30%
Medicine and Dentistry 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Mathematics 2 10%
Agricultural and Biological Sciences 1 5%
Other 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 September 2020.
All research outputs
#8,164,360
of 27,521,156 outputs
Outputs from Drug Discovery Today: Disease Models
#37
of 120 outputs
Outputs of similar age
#70,472
of 245,622 outputs
Outputs of similar age from Drug Discovery Today: Disease Models
#1
of 5 outputs
Altmetric has tracked 27,521,156 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 68% 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 245,622 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 69% 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 all of them