↓ Skip to main content

Airway Microbiota and Pathogen Abundance in Age-Stratified Cystic Fibrosis Patients

Overview of attention for article published in PLOS ONE, June 2010
Altmetric Badge

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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
394 Dimensions

Readers on

mendeley
409 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Airway Microbiota and Pathogen Abundance in Age-Stratified Cystic Fibrosis Patients
Published in
PLOS ONE, June 2010
DOI 10.1371/journal.pone.0011044
Pubmed ID
Authors

Michael J. Cox, Martin Allgaier, Byron Taylor, Marshall S. Baek, Yvonne J. Huang, Rebecca A. Daly, Ulas Karaoz, Gary L. Andersen, Ronald Brown, Kei E. Fujimura, Brian Wu, Diem Tran, Jonathan Koff, Mary Ellen Kleinhenz, Dennis Nielson, Eoin L. Brodie, Susan V. Lynch

Abstract

Bacterial communities in the airways of cystic fibrosis (CF) patients are, as in other ecological niches, influenced by autogenic and allogenic factors. However, our understanding of microbial colonization in younger versus older CF airways and the association with pulmonary function is rudimentary at best. Using a phylogenetic microarray, we examine the airway microbiota in age stratified CF patients ranging from neonates (9 months) to adults (72 years). From a cohort of clinically stable patients, we demonstrate that older CF patients who exhibit poorer pulmonary function possess more uneven, phylogenetically-clustered airway communities, compared to younger patients. Using longitudinal samples collected form a subset of these patients a pattern of initial bacterial community diversification was observed in younger patients compared with a progressive loss of diversity over time in older patients. We describe in detail the distinct bacterial community profiles associated with young and old CF patients with a particular focus on the differences between respective "early" and "late" colonizing organisms. Finally we assess the influence of Cystic Fibrosis Transmembrane Regulator (CFTR) mutation on bacterial abundance and identify genotype-specific communities involving members of the Pseudomonadaceae, Xanthomonadaceae, Moraxellaceae and Enterobacteriaceae amongst others. Data presented here provides insights into the CF airway microbiota, including initial diversification events in younger patients and establishment of specialized communities of pathogens associated with poor pulmonary function in older patient populations.

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 409 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
United Kingdom 4 <1%
Portugal 1 <1%
Austria 1 <1%
South Africa 1 <1%
India 1 <1%
Switzerland 1 <1%
Canada 1 <1%
France 1 <1%
Other 2 <1%
Unknown 386 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 94 23%
Student > Ph. D. Student 75 18%
Student > Bachelor 46 11%
Student > Master 45 11%
Student > Doctoral Student 23 6%
Other 74 18%
Unknown 52 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 32%
Medicine and Dentistry 70 17%
Immunology and Microbiology 54 13%
Biochemistry, Genetics and Molecular Biology 39 10%
Pharmacology, Toxicology and Pharmaceutical Science 14 3%
Other 33 8%
Unknown 67 16%
Attention Score in Context

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 05 June 2021.
All research outputs
#2,370,826
of 23,577,761 outputs
Outputs from PLOS ONE
#29,943
of 202,084 outputs
Outputs of similar age
#8,553
of 95,523 outputs
Outputs of similar age from PLOS ONE
#145
of 712 outputs
Altmetric has tracked 23,577,761 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 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 85% 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 95,523 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 91% of its contemporaries.
We're also able to compare this research output to 712 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.