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Metagenomics for pathogen detection in public health

Overview of attention for article published in Genome Medicine, January 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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
11 tweeters
patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
163 Dimensions

Readers on

mendeley
466 Mendeley
citeulike
2 CiteULike
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Title
Metagenomics for pathogen detection in public health
Published in
Genome Medicine, January 2013
DOI 10.1186/gm485
Pubmed ID
Authors

Ruth R Miller, Vincent Montoya, Jennifer L Gardy, David M Patrick, Patrick Tang

Abstract

Traditional pathogen detection methods in public health infectious disease surveillance rely upon the identification of agents that are already known to be associated with a particular clinical syndrome. The emerging field of metagenomics has the potential to revolutionize pathogen detection in public health laboratories by allowing the simultaneous detection of all microorganisms in a clinical sample, without a priori knowledge of their identities, through the use of next-generation DNA sequencing. A single metagenomics analysis has the potential to detect rare and novel pathogens, and to uncover the role of dysbiotic microbiomes in infectious and chronic human disease. Making use of advances in sequencing platforms and bioinformatics tools, recent studies have shown that metagenomics can even determine the whole-genome sequences of pathogens, allowing inferences about antibiotic resistance, virulence, evolution and transmission to be made. We are entering an era in which more novel infectious diseases will be identified through metagenomics-based methods than through traditional laboratory methods. The impetus is now on public health laboratories to integrate metagenomics techniques into their diagnostic arsenals.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 1%
United States 4 <1%
United Kingdom 2 <1%
Turkey 1 <1%
South Africa 1 <1%
Portugal 1 <1%
Spain 1 <1%
Sweden 1 <1%
Unknown 450 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 104 22%
Student > Ph. D. Student 75 16%
Student > Bachelor 63 14%
Student > Master 59 13%
Student > Doctoral Student 26 6%
Other 76 16%
Unknown 63 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 147 32%
Biochemistry, Genetics and Molecular Biology 88 19%
Medicine and Dentistry 38 8%
Immunology and Microbiology 29 6%
Veterinary Science and Veterinary Medicine 15 3%
Other 58 12%
Unknown 91 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 17 October 2020.
All research outputs
#2,333,624
of 22,560,481 outputs
Outputs from Genome Medicine
#543
of 1,424 outputs
Outputs of similar age
#27,163
of 297,700 outputs
Outputs of similar age from Genome Medicine
#29
of 63 outputs
Altmetric has tracked 22,560,481 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 61% 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 297,700 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 90% of its contemporaries.
We're also able to compare this research output to 63 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 53% of its contemporaries.