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The nasal microbiota in health and disease: variation within and between subjects

Overview of attention for article published in Frontiers in Microbiology, March 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
The nasal microbiota in health and disease: variation within and between subjects
Published in
Frontiers in Microbiology, March 2015
DOI 10.3389/fmicb.2015.00134
Pubmed ID
Authors

Kristi Biswas, Michael Hoggard, Ravi Jain, Michael W. Taylor, Richard G. Douglas

Abstract

Chronic rhinosinusitis (CRS) affects approximately 5% of the adult population in Western societies and severely reduces the patient's quality of life. The role of bacteria in the pathogenesis of this condition has not yet been established with certainty. However, recent reports of bacterial and fungal biofilms in CRS highlight a potential role for these microorganisms. In this study, 16S rRNA gene-targeted amplicon pyrosequencing and qPCR were used to determine the composition and abundance, respectively, of the sinus microbiota within 9 patients with CRS and 6 healthy individuals. Within-patient variability was also investigated by sampling from anterior nares, inferior turbinate, and middle meatus on each side of the sinuses. Our results indicate that more of the variation in bacterial composition can be explained by inter-personal differences, rather than sampling location or even disease status. In addition, bacterial community diversity was significantly lower in CRS samples compared to those from healthy subjects, whereas bacterial load was not associated with disease status. Although members of the genera Corynebacterium and Staphylococcus were prevalent in the majority of samples (including healthy subjects), the large amount of variation observed between individuals, particularly within the CRS cohort, suggests that an imbalance or dysbiosis in community structure could be the driving force behind the disease. Ultimately, understanding the causes of variation within the sinus microbiota may lead to more personalized treatment options for CRS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
India 1 <1%
Unknown 170 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 16%
Researcher 25 15%
Student > Master 20 12%
Student > Bachelor 17 10%
Student > Doctoral Student 12 7%
Other 32 19%
Unknown 38 22%
Readers by discipline Count As %
Medicine and Dentistry 38 22%
Agricultural and Biological Sciences 31 18%
Biochemistry, Genetics and Molecular Biology 22 13%
Immunology and Microbiology 14 8%
Environmental Science 3 2%
Other 15 9%
Unknown 49 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 May 2018.
All research outputs
#7,480,508
of 26,017,215 outputs
Outputs from Frontiers in Microbiology
#7,305
of 29,761 outputs
Outputs of similar age
#79,812
of 274,975 outputs
Outputs of similar age from Frontiers in Microbiology
#84
of 296 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 29,761 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 74% 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 274,975 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 70% of its contemporaries.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.