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Detection of Shiga toxin-producing Escherichia coli in ground beef using the GeneDisc real-time PCR system

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2012
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  • 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 (85th percentile)

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6 X users
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2 patents

Citations

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34 Dimensions

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54 Mendeley
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Title
Detection of Shiga toxin-producing Escherichia coli in ground beef using the GeneDisc real-time PCR system
Published in
Frontiers in Cellular and Infection Microbiology, January 2012
DOI 10.3389/fcimb.2012.00152
Pubmed ID
Authors

Pina M. Fratamico, Lori K. Bagi

Abstract

Escherichia coli O157:H7 and certain non-O157 Shiga toxin-producing Escherichia coli (STEC) serogroups have emerged as important public health threats. The development of methods for rapid and reliable detection of this heterogeneous group of pathogens has been challenging. GeneDisc real-time PCR assays were evaluated for detection of the stx(1), stx(2), eae, and ehxA genes and a gene that identifies the O157 serogroup followed by a second GeneDisc assay targeting serogroup-specific genes of STEC O26, O45, O91, O103, O111, O113, O121, O145, and O157. The ability to detect the STEC serogroups in ground beef samples artificially inoculated at a level of ca. 2-20 CFU/25 g and subjected to enrichment in mTSB or buffered peptone water (BPW) was similar. Following enrichment, all inoculated ground beef samples showed amplification of the correct set of target genes carried by each strain. Samples inoculated with STEC serogroups O26, O45, O103, O111, O121, O145, and O157 were subjected to immunomagnetic separation (IMS), and isolation was achieved by plating onto Rainbow agar O157. Colonies were confirmed by PCR assays targeting stx(1), stx(2), eae, and serogroup-specific genes. Thus, this work demonstrated that GeneDisc assays are rapid, sensitive, and reliable and can be used for screening ground beef and potentially other foods for STEC serogroups that are important food-borne pathogens worldwide.

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X Demographics

The data shown below were collected from the profiles of 6 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 17%
Student > Ph. D. Student 8 15%
Student > Bachelor 6 11%
Student > Master 6 11%
Other 4 7%
Other 9 17%
Unknown 12 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 35%
Biochemistry, Genetics and Molecular Biology 5 9%
Immunology and Microbiology 4 7%
Engineering 4 7%
Veterinary Science and Veterinary Medicine 3 6%
Other 5 9%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 04 March 2015.
All research outputs
#2,828,212
of 22,689,790 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#504
of 6,295 outputs
Outputs of similar age
#23,248
of 244,142 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#16
of 109 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 91% 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 244,142 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 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.