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Acquisition and adaptation of the airway microbiota in the early life of cystic fibrosis patients

Overview of attention for article published in Molecular and Cellular Pediatrics, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

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69 Mendeley
Title
Acquisition and adaptation of the airway microbiota in the early life of cystic fibrosis patients
Published in
Molecular and Cellular Pediatrics, January 2017
DOI 10.1186/s40348-016-0067-1
Pubmed ID
Authors

Sébastien Boutin, Alexander H. Dalpke

Abstract

Cystic fibrosis (CF) is a genetic disease in which bacterial infections of the airways play a major role in the long-term clinical outcome. In recent years, a number of next-generation sequencing (NGS)-based studies aimed at deciphering the structure and composition of the airways' microbiota. It was shown that the nasal cavity of CF patients displays dysbiosis early in life indicating a failure in the first establishment of a healthy microbiota. In contrast, within the conducting and lower airways, the establishment occurs normally first, but is sensitive to future dysbiosis including chronic infections with classical pathogens in later life. The objective of this mini-review is to give an update on the current knowledge about the development of the microbiota in the early life of CF patients. Microbial acquisition in the human airways can be described by the island model: Microbes found in the lower airways of CF patients represent "islands" that are at first populated from the upper airways reflecting the "mainland." Colonization can be modeled following the neutral theory in which the most abundant bacteria in the mainland are also frequently found in the lower airways initially. At later times, however, the colonization process of the lower airways segregates by active selection of specific microbes. Future research should focus on those processes of microbial and host interactions to understand how microbial communities are shaped on short- and long-term scales. We point out what therapeutic consequences arise from the microbiome data obtained within ecological framework models.

X Demographics

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The data shown below were collected from the profiles of 2 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Ph. D. Student 11 16%
Student > Bachelor 8 12%
Researcher 8 12%
Student > Doctoral Student 7 10%
Other 8 12%
Unknown 14 20%
Readers by discipline Count As %
Medicine and Dentistry 16 23%
Agricultural and Biological Sciences 11 16%
Immunology and Microbiology 10 14%
Biochemistry, Genetics and Molecular Biology 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 3 4%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 January 2017.
All research outputs
#3,945,994
of 22,940,083 outputs
Outputs from Molecular and Cellular Pediatrics
#15
of 98 outputs
Outputs of similar age
#79,186
of 418,156 outputs
Outputs of similar age from Molecular and Cellular Pediatrics
#1
of 3 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 84% 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 418,156 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 80% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them