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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining adult asthma endotypes by clinical features and patterns of volatile organic compounds in exhaled air
|
|---|---|
| Published in |
Respiratory Research, November 2014
|
| DOI | 10.1186/s12931-014-0136-8 |
| Pubmed ID | |
| Authors |
Norbert Meyer, Jan W Dallinga, Sarah Janine Nuss, Edwin JC Moonen, Joep JBN van Berkel, Cezmi Akdis, Frederik Jan van Schooten, Günter Menz |
| Abstract |
BackgroundSeveral classifications of adult asthma patients using cluster analyses based on clinical and demographic information has resulted in clinical phenotypic clusters that do not address molecular mechanisms. Volatile organic compounds (VOC) in exhaled air are released during inflammation in response to oxidative stress as a result of activated leukocytes. VOC profiles in exhaled air could distinguish between asthma patients and healthy subjects. In this study, we aimed to classify new asthma endotypes by combining inflammatory mechanisms investigated by VOC profiles in exhaled air and clinical information of asthma patients.MethodsBreath samples were analyzed for VOC profiles by gas chromatography¿mass spectrometry from asthma patients (n¿=¿195) and healthy controls (n¿=¿40). A total of 945 determined compounds were subjected to discriminant analysis to find those that could discriminate healthy from asthmatic subjects. 2-step cluster analysis based on clinical information and VOCs in exhaled air were used to form asthma endotypes.ResultsWe identified 16 VOCs, which could distinguish between healthy and asthma subjects with a sensitivity of 100% and a specificity of 91.1%. Cluster analysis based on VOCs in exhaled air and the clinical parameters FEV1, FEV1 change after 3 weeks of hospitalization, allergic sensitization, Junipers symptoms score and asthma medications resulted in the formation of 7 different asthma endotype clusters. We identified asthma clusters with different VOC profiles but similar clinical characteristics and endotypes with similar VOC profiles, but distinct clinical characteristics.ConclusionThis study demonstrates that both, clinical presentation of asthma and inflammatory mechanisms in the airways should be considered for classification of asthma subtypes. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| United Kingdom | 2 | 25% |
| Brazil | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 38% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Unknown | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Student > Bachelor | 10 | 14% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Doctoral Student | 7 | 10% |
| Other | 13 | 18% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Agricultural and Biological Sciences | 4 | 6% |
| Immunology and Microbiology | 4 | 6% |
| Physics and Astronomy | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 December 2015.
All research outputs
#2,655,078
of 25,373,627 outputs
Outputs from Respiratory Research
#299
of 3,062 outputs
Outputs of similar age
#35,743
of 369,449 outputs
Outputs of similar age from Respiratory Research
#4
of 38 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th 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 particularly well, scoring higher than 90% 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 369,449 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 90% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.