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Use of Whole Genome Sequencing to Determine the Microevolution of Mycobacterium tuberculosis during an Outbreak

Overview of attention for article published in PLOS ONE, March 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 policy source
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17 X users

Citations

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72 Dimensions

Readers on

mendeley
190 Mendeley
Title
Use of Whole Genome Sequencing to Determine the Microevolution of Mycobacterium tuberculosis during an Outbreak
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058235
Pubmed ID
Authors

Midori Kato-Maeda, Christine Ho, Ben Passarelli, Niaz Banaei, Jennifer Grinsdale, Laura Flores, Jillian Anderson, Megan Murray, Graham Rose, L. Masae Kawamura, Nader Pourmand, Muhammad A. Tariq, Sebastien Gagneux, Philip C. Hopewell

Abstract

Current tools available to study the molecular epidemiology of tuberculosis do not provide information about the directionality and sequence of transmission for tuberculosis cases occurring over a short period of time, such as during an outbreak. Recently, whole genome sequencing has been used to study molecular epidemiology of Mycobacterium tuberculosis over short time periods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Italy 2 1%
United Kingdom 2 1%
Sweden 1 <1%
Colombia 1 <1%
Zimbabwe 1 <1%
Belgium 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 176 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 28%
Student > Master 36 19%
Student > Ph. D. Student 28 15%
Student > Bachelor 14 7%
Student > Postgraduate 7 4%
Other 29 15%
Unknown 22 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 31%
Biochemistry, Genetics and Molecular Biology 36 19%
Medicine and Dentistry 29 15%
Immunology and Microbiology 14 7%
Veterinary Science and Veterinary Medicine 4 2%
Other 17 9%
Unknown 31 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 April 2013.
All research outputs
#2,937,742
of 25,059,640 outputs
Outputs from PLOS ONE
#36,177
of 217,362 outputs
Outputs of similar age
#23,126
of 200,195 outputs
Outputs of similar age from PLOS ONE
#824
of 5,408 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 217,362 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 83% 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 200,195 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 88% of its contemporaries.
We're also able to compare this research output to 5,408 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.