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Volatile Organic Compounds in Exhaled Breath of Idiopathic Pulmonary Fibrosis for Discrimination from Healthy Subjects

Overview of attention for article published in Lung, March 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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3 X users
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1 Facebook page
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1 Wikipedia page

Citations

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23 Dimensions

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47 Mendeley
Title
Volatile Organic Compounds in Exhaled Breath of Idiopathic Pulmonary Fibrosis for Discrimination from Healthy Subjects
Published in
Lung, March 2017
DOI 10.1007/s00408-017-9979-3
Pubmed ID
Authors

Yu-ichi Yamada, Gen Yamada, Mitsuo Otsuka, Hirotaka Nishikiori, Kimiyuki Ikeda, Yasuaki Umeda, Hirofumi Ohnishi, Koji Kuronuma, Hirofumi Chiba, Jörg Ingo Baumbach, Hiroki Takahashi

Abstract

Purpose Human breath analysis is proposed with increasing frequency as a useful tool in clinical application. We performed this study to find the characteristic volatile organic compounds (VOCs) in the exhaled breath of patients with idiopathic pulmonary fibrosis (IPF) for discrimination from healthy subjects. Methods VOCs in the exhaled breath of 40 IPF patients and 55 healthy controls were measured using a multi-capillary column and ion mobility spectrometer. The patients were examined by pulmonary function tests, blood gas analysis, and serum biomarkers of interstitial pneumonia. Results We detected 85 VOC peaks in the exhaled breath of IPF patients and controls. IPF patients showed 5 significant VOC peaks; p-cymene, acetoin, isoprene, ethylbenzene, and an unknown compound. The VOC peak of p-cymene was significantly lower (p < 0.001), while the VOC peaks of acetoin, isoprene, ethylbenzene, and the unknown compound were significantly higher (p < 0.001 for all) compared with the peaks of controls. Comparing VOC peaks with clinical parameters, negative correlations with VC (r =-0.393, p = 0.013), %VC (r =-0.569, p < 0.001), FVC (r = -0.440, p = 0.004), %FVC (r =-0.539, p < 0.001), DLco (r =-0.394, p = 0.018), and %DLco (r =-0.413, p = 0.008) and a positive correlation with KL-6 (r = 0.432, p = 0.005) were found for p-cymene. Conclusion We found characteristic 5 VOCs in the exhaled breath of IPF patients. Among them, the VOC peaks of p-cymene were related to the clinical parameters of IPF. These VOCs may be useful biomarkers of IPF.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Bachelor 6 13%
Student > Ph. D. Student 6 13%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Engineering 3 6%
Chemistry 3 6%
Computer Science 3 6%
Immunology and Microbiology 2 4%
Other 8 17%
Unknown 15 32%
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 26 February 2019.
All research outputs
#6,151,330
of 24,288,381 outputs
Outputs from Lung
#182
of 936 outputs
Outputs of similar age
#94,148
of 315,116 outputs
Outputs of similar age from Lung
#3
of 17 outputs
Altmetric has tracked 24,288,381 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 936 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 80% 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 315,116 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.