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Phenotypes of symptomatic airways disease in China and New Zealand

Overview of attention for article published in European Respiratory Journal, December 2017
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Article details
Title
Phenotypes of symptomatic airways disease in China and New Zealand
Published in
European Respiratory Journal, December 2017
DOI 10.1183/13993003.00957-2017
Pubmed ID
Authors
Abstract

It is uncertain whether phenotypes of asthma and chronic obstructive pulmonary disease (COPD) vary between populations with different genetic and environmental characteristics. Here, our objective was to compare the phenotypes of airways disease in two separate populations.This was a cross-sectional observational study in adult populations from New Zealand and China. Participants aged 40-75 years who reported wheeze and breathlessness in the last 12 months were randomly selected from the general population and underwent detailed characterisation. Complete data for cluster analysis were available for 345 participants. Hierarchical cluster analysis was undertaken, based on 12 variables: forced expiratory volume in 1 s (FEV1), FEV1/forced vital capacity ratio, bronchodilator reversibility, peak expiratory flow variability, transfer coefficient of the lung for carbon monoxide, exhaled nitric oxide fraction, total IgE, C-reactive protein, age of symptom onset, body mass index, health status and cigarette smoke exposure.Cluster analysis of the combined dataset described five phenotypes: "severe late-onset asthma/COPD overlap group", "moderately severe early-onset asthma/COPD overlap group", "moderate to severe asthma group with type 2 predominant disease", and two groups with minimal airflow obstruction, differentiated by age of onset. Separate analyses by country showed similar patterns; however, a distinct obese/comorbid group was observed in the New Zealand population.Cluster analysis of adults with symptomatic airways disease suggests the presence of similar asthma/COPD overlap phenotypes within populations with different genetic and environmental characteristics, and an obese/comorbid phenotype in a Western population.

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X Demographics

The data shown below were collected from the profiles of 5 X users 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 69 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 %
Unknown 69 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 13%
Researcher 8 12%
Other 6 9%
Student > Bachelor 6 9%
Student > Ph. D. Student 4 6%
Other 10 14%
Unknown 26 38%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 27 39%
Nursing and Health Professions 5 7%
Computer Science 2 3%
Mathematics 1 1%
Business, Management and Accounting 1 1%
Other 4 6%
Unknown 29 42%
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 13 January 2018.
All research outputs
#11,801,790
of 34,358,242 outputs
Outputs from European Respiratory Journal
#6,481
of 10,791 outputs
Outputs of similar age
#171,322
of 492,572 outputs
Outputs of similar age from European Respiratory Journal
#101
of 150 outputs
Altmetric has tracked 34,358,242 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 10,791 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 39th percentile – i.e., 39% 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 492,572 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 65% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.