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Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory

Overview of attention for article published in Emerging Infectious Diseases, September 2017
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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)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
1 policy source
twitter
28 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
3 CiteULike
Title
Bioinformatic Analyses of Whole-Genome Sequence Data in a Public Health Laboratory
Published in
Emerging Infectious Diseases, September 2017
DOI 10.3201/eid2309.170416
Pubmed ID
Authors

Kelly F. Oakeson, Jennifer Marie Wagner, Michelle Mendenhall, Andreas Rohrwasser, Robyn Atkinson-Dunn

Abstract

The ability to generate high-quality sequence data in a public health laboratory enables the identification of pathogenic strains, the determination of relatedness among outbreak strains, and the analysis of genetic information regarding virulence and antimicrobial-resistance genes. However, the analysis of whole-genome sequence data depends on bioinformatic analysis tools and processes. Many public health laboratories do not have the bioinformatic capabilities to analyze the data generated from sequencing and therefore are unable to take full advantage of the power of whole-genome sequencing. The goal of this perspective is to provide a guide for laboratories to understand the bioinformatic analyses that are needed to interpret whole-genome sequence data and how these in silico analyses can be implemented in a public health laboratory setting easily, affordably, and, in some cases, without the need for intensive computing resources and infrastructure.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 174 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 17%
Student > Master 26 15%
Student > Ph. D. Student 23 13%
Student > Doctoral Student 12 7%
Student > Bachelor 10 6%
Other 29 17%
Unknown 45 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 24%
Agricultural and Biological Sciences 26 15%
Immunology and Microbiology 14 8%
Medicine and Dentistry 14 8%
Computer Science 6 3%
Other 20 11%
Unknown 53 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 23 October 2023.
All research outputs
#1,624,227
of 25,287,709 outputs
Outputs from Emerging Infectious Diseases
#1,831
of 9,717 outputs
Outputs of similar age
#31,118
of 322,440 outputs
Outputs of similar age from Emerging Infectious Diseases
#21
of 117 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.5. This one has done well, scoring higher than 81% 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 322,440 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 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.