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Characterizing human lung tissue microbiota and its relationship to epidemiological and clinical features

Overview of attention for article published in Genome Biology, July 2016
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
12 X users

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303 Mendeley
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Title
Characterizing human lung tissue microbiota and its relationship to epidemiological and clinical features
Published in
Genome Biology, July 2016
DOI 10.1186/s13059-016-1021-1
Pubmed ID
Authors

Guoqin Yu, Mitchell H. Gail, Dario Consonni, Michele Carugno, Michael Humphrys, Angela C. Pesatori, Neil E. Caporaso, James J. Goedert, Jacques Ravel, Maria Teresa Landi

Abstract

The human lung tissue microbiota remains largely uncharacterized, although a number of studies based on airway samples suggest the existence of a viable human lung microbiota. Here we characterized the taxonomic and derived functional profiles of lung microbiota in 165 non-malignant lung tissue samples from cancer patients. We show that the lung microbiota is distinct from the microbial communities in oral, nasal, stool, skin, and vagina, with Proteobacteria as the dominant phylum (60 %). Microbiota taxonomic alpha diversity increases with environmental exposures, such as air particulates, residence in low to high population density areas, and pack-years of tobacco smoking and decreases in subjects with history of chronic bronchitis. Genus Thermus is more abundant in tissue from advanced stage (IIIB, IV) patients, while Legionella is higher in patients who develop metastases. Moreover, the non-malignant lung tissues have higher microbiota alpha diversity than the paired tumors. Our results provide insights into the human lung microbiota composition and function and their link to human lifestyle and clinical outcomes. Studies among subjects without lung cancer are needed to confirm our findings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
France 1 <1%
Italy 1 <1%
Unknown 299 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 16%
Student > Ph. D. Student 44 15%
Student > Master 35 12%
Student > Bachelor 35 12%
Student > Doctoral Student 18 6%
Other 46 15%
Unknown 76 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 16%
Medicine and Dentistry 47 16%
Agricultural and Biological Sciences 37 12%
Immunology and Microbiology 37 12%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Other 34 11%
Unknown 91 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 01 January 2020.
All research outputs
#2,119,993
of 25,374,917 outputs
Outputs from Genome Biology
#1,781
of 4,467 outputs
Outputs of similar age
#38,484
of 380,139 outputs
Outputs of similar age from Genome Biology
#25
of 55 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 60% 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 380,139 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 89% of its contemporaries.
We're also able to compare this research output to 55 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 54% of its contemporaries.