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Development of a tool to recognize small airways dysfunction in asthma (SADT)

Overview of attention for article published in Health and Quality of Life Outcomes, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 blog
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2 X users

Citations

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12 Dimensions

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41 Mendeley
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Title
Development of a tool to recognize small airways dysfunction in asthma (SADT)
Published in
Health and Quality of Life Outcomes, November 2014
DOI 10.1186/s12955-014-0155-7
Pubmed ID
Authors

Lieke Schiphof-Godart, Erica van der Wiel, Nick HT ten Hacken, Maarten van den Berge, Dirkje S Postma, Thys van der Molen

Abstract

BackgroundSmall airways dysfunction (SAD) contributes to the clinical expression of asthma. The identification of patients who suffer from SAD is important from a clinical perspective, as targeted therapy may improve patients¿ well-being and treatment efficacy.AimsWe aimed to realize the first step in the development of a simple small airways dysfunction tool (SADT) that may help to identify asthma patients having SAD.MethodsAsthma patients with and without SAD were interviewed. Patients were selected to participate in this study based on FEF50% and R5-R20 values from spirometry and impulse oscillometry respectively.ResultsTen in depth interviews and two focus groups revealed that patients with and without SAD perceived differences in symptoms and signs, habits and health related issues. For example, patients with SAD reported to wheeze easily, were unable to breathe in deeply, mentioned more symptoms related to bronchial hyperresponsiveness, experienced more pronounced exercise-induced symptoms and more frequently had allergic respiratory symptoms after exposure to cats and birds. Based on these differences, 63 items were retained to be further explored for the SADT.ConclusionsThe first step of the development of the SADT tool shows that there are relevant differences in signs and respiratory symptoms between asthma patients with and without SAD. The next step is to test and validate all items in order to retain the most relevant items to create a short and simple tool, which should be useful to identify asthma patients with SAD in clinical practice.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 17%
Other 6 15%
Student > Master 6 15%
Researcher 4 10%
Student > Doctoral Student 3 7%
Other 3 7%
Unknown 12 29%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Nursing and Health Professions 3 7%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 12%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 October 2015.
All research outputs
#3,582,877
of 22,771,140 outputs
Outputs from Health and Quality of Life Outcomes
#318
of 2,159 outputs
Outputs of similar age
#51,974
of 361,557 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#3
of 41 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 361,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 41 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 92% of its contemporaries.