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Characterization of the Viral Microbiome in Patients with Severe Lower Respiratory Tract Infections, Using Metagenomic Sequencing

Overview of attention for article published in PLOS ONE, February 2012
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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1 policy source
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8 X users

Citations

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160 Dimensions

Readers on

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318 Mendeley
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7 CiteULike
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Title
Characterization of the Viral Microbiome in Patients with Severe Lower Respiratory Tract Infections, Using Metagenomic Sequencing
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030875
Pubmed ID
Authors

Fredrik Lysholm, Anna Wetterbom, Cecilia Lindau, Hamid Darban, Annelie Bjerkner, Kristina Fahlander, A. Michael Lindberg, Bengt Persson, Tobias Allander, Björn Andersson

Abstract

The human respiratory tract is heavily exposed to microorganisms. Viral respiratory tract pathogens, like RSV, influenza and rhinoviruses cause major morbidity and mortality from respiratory tract disease. Furthermore, as viruses have limited means of transmission, viruses that cause pathogenicity in other tissues may be transmitted through the respiratory tract. It is therefore important to chart the human virome in this compartment. We have studied nasopharyngeal aspirate samples submitted to the Karolinska University Laboratory, Stockholm, Sweden from March 2004 to May 2005 for diagnosis of respiratory tract infections. We have used a metagenomic sequencing strategy to characterize viruses, as this provides the most unbiased view of the samples. Virus enrichment followed by 454 sequencing resulted in totally 703,790 reads and 110,931 of these were found to be of viral origin by using an automated classification pipeline. The snapshot of the respiratory tract virome of these 210 patients revealed 39 species and many more strains of viruses. Most of the viral sequences were classified into one of three major families; Paramyxoviridae, Picornaviridae or Orthomyxoviridae. The study also identified one novel type of Rhinovirus C, and identified a number of previously undescribed viral genetic fragments of unknown origin.

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

Geographical breakdown

Country Count As %
Brazil 5 2%
United States 3 <1%
Germany 1 <1%
France 1 <1%
Norway 1 <1%
Sudan 1 <1%
Australia 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Other 5 2%
Unknown 298 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 22%
Researcher 56 18%
Student > Bachelor 38 12%
Student > Master 27 8%
Professor > Associate Professor 20 6%
Other 62 19%
Unknown 44 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 35%
Medicine and Dentistry 66 21%
Biochemistry, Genetics and Molecular Biology 31 10%
Immunology and Microbiology 28 9%
Computer Science 7 2%
Other 20 6%
Unknown 56 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 January 2018.
All research outputs
#4,764,396
of 23,885,338 outputs
Outputs from PLOS ONE
#70,823
of 205,267 outputs
Outputs of similar age
#41,517
of 256,667 outputs
Outputs of similar age from PLOS ONE
#772
of 3,562 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has gotten more attention than average, scoring higher than 65% 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 256,667 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 83% of its contemporaries.
We're also able to compare this research output to 3,562 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.