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Using sequence data to identify alternative routes and risk of infection: a case-study of campylobacter in Scotland

Overview of attention for article published in BMC Infectious Diseases, April 2012
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1 tweeter

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27 Mendeley
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Title
Using sequence data to identify alternative routes and risk of infection: a case-study of campylobacter in Scotland
Published in
BMC Infectious Diseases, April 2012
DOI 10.1186/1471-2334-12-80
Pubmed ID
Authors

Paul R Bessell, Ovidiu Rotariu, Giles T Innocent, Alison Smith-Palmer, Norval JC Strachan, Ken J Forbes, John M Cowden, Stuart WJ Reid, Louise Matthews

Abstract

Genetic typing data are a potentially powerful resource for determining how infection is acquired. In this paper MLST typing was used to distinguish the routes and risks of infection of humans with Campylobacter jejuni from poultry and ruminant sources

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Master 5 19%
Student > Ph. D. Student 4 15%
Student > Bachelor 2 7%
Professor 2 7%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Medicine and Dentistry 4 15%
Veterinary Science and Veterinary Medicine 3 11%
Immunology and Microbiology 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 6 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 April 2012.
All research outputs
#10,995,514
of 12,373,180 outputs
Outputs from BMC Infectious Diseases
#3,978
of 4,592 outputs
Outputs of similar age
#100,751
of 117,564 outputs
Outputs of similar age from BMC Infectious Diseases
#33
of 35 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,592 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 117,564 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.