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Genome analysis and CRISPR typing of Salmonella enterica serovar Virchow

Overview of attention for article published in BMC Genomics, May 2014
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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4 X users

Citations

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27 Dimensions

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77 Mendeley
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Title
Genome analysis and CRISPR typing of Salmonella enterica serovar Virchow
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-389
Pubmed ID
Authors

Nathan L Bachmann, Nicola K Petty, Nouri L Ben Zakour, Jan M Szubert, John Savill, Scott A Beatson

Abstract

Salmonella enterica subsp. enterica serovar Virchow has been recognized as a significant health burden in Asia, Australia and Europe. In addition to its global distribution, S. Virchow is clinically significant due to the frequency at which it causes invasive infections and its association with outbreaks arising from food-borne transmission. Here, we examine the genome of an invasive isolate of S. Virchow SVQ1 (phage type 8) from an outbreak in southeast Queensland, Australia. In addition to identifying new potential genotyping targets that could be used for discriminating between S. Virchow strains in outbreak scenarios, we also aimed to carry out a comprehensive comparative analysis of the S. Virchow genomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Portugal 1 1%
Denmark 1 1%
Argentina 1 1%
Unknown 73 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 19 25%
Student > Master 7 9%
Student > Bachelor 5 6%
Professor 4 5%
Other 8 10%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 40%
Biochemistry, Genetics and Molecular Biology 13 17%
Immunology and Microbiology 9 12%
Veterinary Science and Veterinary Medicine 4 5%
Computer Science 2 3%
Other 1 1%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 September 2014.
All research outputs
#14,196,440
of 22,756,196 outputs
Outputs from BMC Genomics
#5,690
of 10,637 outputs
Outputs of similar age
#119,213
of 226,345 outputs
Outputs of similar age from BMC Genomics
#85
of 196 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 226,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 196 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.