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Improving resolution of public health surveillance for human Salmonella entericaserovar Typhimurium infection: 3 years of prospective multiple-locus variable-number tandem-repeat analysis (MLVA)

Overview of attention for article published in BMC Infectious Diseases, March 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Citations

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Title
Improving resolution of public health surveillance for human Salmonella entericaserovar Typhimurium infection: 3 years of prospective multiple-locus variable-number tandem-repeat analysis (MLVA)
Published in
BMC Infectious Diseases, March 2012
DOI 10.1186/1471-2334-12-78
Pubmed ID
Authors

Vitali Sintchenko, Qinning Wang, Peter Howard, Connie WY Ha, Katina Kardamanidis, Jennie Musto, Gwendolyn L Gilbert

Abstract

Prospective typing of Salmonella enterica serovar Typhimurium (STM) by multiple-locus variable-number tandem-repeat analysis (MLVA) can assist in identifying clusters of STM cases that might otherwise have gone unrecognised, as well as sources of sporadic and outbreak cases. This paper describes the dynamics of human STM infection in a prospective study of STM MLVA typing for public health surveillance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uzbekistan 1 3%
Sweden 1 3%
Australia 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Researcher 5 17%
Student > Bachelor 3 10%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 4 13%
Unknown 7 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 30%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 2 7%
Veterinary Science and Veterinary Medicine 2 7%
Immunology and Microbiology 2 7%
Other 3 10%
Unknown 8 27%
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 10 April 2012.
All research outputs
#7,398,714
of 24,362,308 outputs
Outputs from BMC Infectious Diseases
#2,364
of 8,145 outputs
Outputs of similar age
#48,336
of 164,730 outputs
Outputs of similar age from BMC Infectious Diseases
#20
of 97 outputs
Altmetric has tracked 24,362,308 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 70% 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 164,730 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 70% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.