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Genetic Characterization of Staphylococcus aureus Isolated from Retail Meat in Riyadh, Saudi Arabia

Overview of attention for article published in Frontiers in Microbiology, June 2016
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2 X users

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48 Mendeley
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Title
Genetic Characterization of Staphylococcus aureus Isolated from Retail Meat in Riyadh, Saudi Arabia
Published in
Frontiers in Microbiology, June 2016
DOI 10.3389/fmicb.2016.00911
Pubmed ID
Authors

Muhabat A. Raji, Ghada Garaween, Ralf Ehricht, Stefan Monecke, Atef M. Shibl, Abiola Senok

Abstract

Limited data exist from the Gulf Cooperation Council states on the prevalence and population dynamics of Staphylococcus aureus colonizing livestock or contaminating retail meat. This study was designed to determine the presence and genetic characteristics of Staphylococcus aureus isolated from raw retail meat sold in Riyadh, Saudi Arabia. Over a period of 9 months, different raw retail meat types were aseptically processed using the double broth enrichment technique, characteristic colonies from chromogenic and mannitol salt agar were further identified using conventional methods. Susceptibility to 9 antibiotics was determined using the disc diffusion technique. Interpretation of inhibition zone was done according to Clinical and Laboratory Standards Institute guidelines. Molecular characterization was carried out using the StaphyType DNA microarray technology. Twenty-five meat samples yielded Staphylococcus aureus isolates. Camel meat had the highest contamination rate with Methicillin resistant Staphylococcus aureus (MRSA) (20%) and Methicillin susceptible Staphylococcus aureus (28%), while poultry meat had the least contamination rate with MRSA (4%). The MRSA isolates were grouped into 4 clonal complexes (CCs) namely CC1-MRSA-IV/SCCfus (n = 2), CC15-MRSA-V/SCCfus (n = 4), CC80-MRSA-IV/PVL+ (n = 5), and CC88-MRSA-IV/PVL+ (n = 2). All CC15-MRSA-V/SCCfus isolates were obtained from camel meat. This is the first study to demonstrate the novel CC15-MRSA-V/SCCfus in retail camel meat. We recommend that surveillance studies should be incorporated in public health and food hygiene programs.

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The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Doctoral Student 7 15%
Researcher 6 13%
Student > Ph. D. Student 4 8%
Other 3 6%
Other 11 23%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Veterinary Science and Veterinary Medicine 5 10%
Immunology and Microbiology 5 10%
Medicine and Dentistry 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 6 13%
Unknown 14 29%
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 10 June 2016.
All research outputs
#14,853,520
of 22,875,477 outputs
Outputs from Frontiers in Microbiology
#13,851
of 24,898 outputs
Outputs of similar age
#204,436
of 343,018 outputs
Outputs of similar age from Frontiers in Microbiology
#316
of 544 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,898 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 39th percentile – i.e., 39% 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 343,018 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 544 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.