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Rapid Typing of Coxiella burnetii

Overview of attention for article published in PLOS ONE, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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1 policy source
twitter
1 X user

Citations

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78 Dimensions

Readers on

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70 Mendeley
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1 CiteULike
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Title
Rapid Typing of Coxiella burnetii
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0026201
Pubmed ID
Authors

Heidie M. Hornstra, Rachael A. Priestley, Shalamar M. Georgia, Sergey Kachur, Dawn N. Birdsell, Remy Hilsabeck, Lauren T. Gates, James E. Samuel, Robert A. Heinzen, Gilbert J. Kersh, Paul Keim, Robert F. Massung, Talima Pearson

Abstract

Coxiella burnetii has the potential to cause serious disease and is highly prevalent in the environment. Despite this, epidemiological data are sparse and isolate collections are typically small, rare, and difficult to share among laboratories as this pathogen is governed by select agent rules and fastidious to culture. With the advent of whole genome sequencing, some of this knowledge gap has been overcome by the development of genotyping schemes, however many of these methods are cumbersome and not readily transferable between institutions. As comparisons of the few existing collections can dramatically increase our knowledge of the evolution and phylogeography of the species, we aimed to facilitate such comparisons by extracting SNP signatures from past genotyping efforts and then incorporated these signatures into assays that quickly and easily define genotypes and phylogenetic groups. We found 91 polymorphisms (SNPs and indels) among multispacer sequence typing (MST) loci and designed 14 SNP-based assays that could be used to type samples based on previously established phylogenetic groups. These assays are rapid, inexpensive, real-time PCR assays whose results are unambiguous. Data from these assays allowed us to assign 43 previously untyped isolates to established genotypes and genomic groups. Furthermore, genotyping results based on assays from the signatures provided here are easily transferred between institutions, readily interpreted phylogenetically and simple to adapt to new genotyping technologies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
United Kingdom 1 1%
Spain 1 1%
United States 1 1%
Algeria 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Ph. D. Student 11 16%
Student > Master 8 11%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 10 14%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 33%
Veterinary Science and Veterinary Medicine 8 11%
Biochemistry, Genetics and Molecular Biology 5 7%
Immunology and Microbiology 4 6%
Medicine and Dentistry 4 6%
Other 8 11%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 2013.
All research outputs
#7,752,386
of 24,089,177 outputs
Outputs from PLOS ONE
#97,308
of 206,914 outputs
Outputs of similar age
#47,410
of 144,899 outputs
Outputs of similar age from PLOS ONE
#1,041
of 2,681 outputs
Altmetric has tracked 24,089,177 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 206,914 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 51% 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 144,899 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 2,681 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 59% of its contemporaries.