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Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia

Overview of attention for article published in Critical Care, April 2017
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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10 X users

Citations

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61 Dimensions

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102 Mendeley
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Title
Plasma metabolomics for the diagnosis and prognosis of H1N1 influenza pneumonia
Published in
Critical Care, April 2017
DOI 10.1186/s13054-017-1672-7
Pubmed ID
Authors

Mohammad M. Banoei, Hans J. Vogel, Aalim M. Weljie, Anand Kumar, Sachin Yende, Derek C. Angus, Brent W. Winston, the Canadian Critical Care Translational Biology Group (CCCTBG)

Abstract

Metabolomics is a tool that has been used for the diagnosis and prognosis of specific diseases. The purpose of this study was to examine if metabolomics could be used as a potential diagnostic and prognostic tool for H1N1 pneumonia. Our hypothesis was that metabolomics can potentially be used early for the diagnosis and prognosis of H1N1 influenza pneumonia. (1)H nuclear magnetic resonance spectroscopy and gas chromatography-mass spectrometry were used to profile the metabolome in 42 patients with H1N1 pneumonia, 31 ventilated control subjects in the intensive care unit (ICU), and 30 culture-positive plasma samples from patients with bacterial community-acquired pneumonia drawn within the first 24 h of hospital admission for diagnosis and prognosis of disease. We found that plasma-based metabolomics from samples taken within 24 h of hospital admission can be used to discriminate H1N1 pneumonia from bacterial pneumonia and nonsurvivors from survivors of H1N1 pneumonia. Moreover, metabolomics is a highly sensitive and specific tool for the 90-day prognosis of mortality in H1N1 pneumonia. This study demonstrates that H1N1 pneumonia can create a quite different plasma metabolic profile from bacterial culture-positive pneumonia and ventilated control subjects in the ICU on the basis of plasma samples taken within 24 h of hospital/ICU admission, early in the course of disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 15%
Student > Ph. D. Student 14 14%
Student > Master 11 11%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 18 18%
Unknown 29 28%
Readers by discipline Count As %
Medicine and Dentistry 18 18%
Biochemistry, Genetics and Molecular Biology 13 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 11%
Chemistry 7 7%
Agricultural and Biological Sciences 7 7%
Other 11 11%
Unknown 35 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 May 2017.
All research outputs
#2,834,527
of 25,382,440 outputs
Outputs from Critical Care
#2,427
of 6,555 outputs
Outputs of similar age
#50,867
of 324,249 outputs
Outputs of similar age from Critical Care
#39
of 73 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 62% 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 324,249 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 84% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.