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Changes in microbiota during experimental human Rhinovirus infection

Overview of attention for article published in BMC Infectious Diseases, August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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3 news outlets
blogs
1 blog
twitter
8 X users

Citations

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48 Dimensions

Readers on

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86 Mendeley
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Title
Changes in microbiota during experimental human Rhinovirus infection
Published in
BMC Infectious Diseases, August 2015
DOI 10.1186/s12879-015-1081-y
Pubmed ID
Authors

J. J. Hofstra, S. Matamoros, M. A. van de Pol, B. de Wever, M. W. Tanck, H. Wendt-Knol, M. Deijs, L. van der Hoek, K. C. Wolthers, R. Molenkamp, C. E. Visser, P. J. Sterk, R. Lutter, M. D. de Jong

Abstract

Human Rhinovirus (HRV) is responsible for the majority of common colds and is frequently accompanied by secondary bacterial infections through poorly understood mechanisms. We investigated the effects of experimental human HRV serotype 16 infection on the upper respiratory tract microbiota. Six healthy volunteers were infected with HRV16. We performed 16S ribosomal RNA-targeted pyrosequencing on throat swabs taken prior, during and after infection. We compared overall community diversity, phylogenetic structure of the ecosystem and relative abundances of the different bacteria between time points. During acute infection strong trends towards increases in the relative abundances of Haemophilus parainfluenzae and Neisseria subflava were observed, as well as a weaker trend towards increases of Staphylococcus aureus. No major differences were observed between day-1 and day 60, whereas differences between subjects were very high. HRV16 infection is associated with the increase of three genera known to be associated with secondary infections following HRV infections. The observed changes of upper respiratory tract microbiota could help explain why HRV infection predisposes to bacterial otitis media, sinusitis and pneumonia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 28%
Student > Master 9 10%
Student > Bachelor 9 10%
Student > Ph. D. Student 7 8%
Professor > Associate Professor 5 6%
Other 14 16%
Unknown 18 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 20%
Immunology and Microbiology 17 20%
Medicine and Dentistry 17 20%
Nursing and Health Professions 4 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 8 9%
Unknown 20 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 08 October 2015.
All research outputs
#1,125,428
of 24,885,505 outputs
Outputs from BMC Infectious Diseases
#256
of 8,368 outputs
Outputs of similar age
#14,554
of 270,026 outputs
Outputs of similar age from BMC Infectious Diseases
#4
of 142 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 96% 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 270,026 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 94% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.