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Pyrosequencing analysis of microbial community and food-borne bacteria on restaurant cutting boards collected in Seri Kembangan, Malaysia, and their correlation with grades of food premises

Overview of attention for article published in International Journal of Food Microbiology, February 2015
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Title
Pyrosequencing analysis of microbial community and food-borne bacteria on restaurant cutting boards collected in Seri Kembangan, Malaysia, and their correlation with grades of food premises
Published in
International Journal of Food Microbiology, February 2015
DOI 10.1016/j.ijfoodmicro.2015.01.022
Pubmed ID
Authors

Noor-Azira Abdul-Mutalib, Syafinaz Amin Nordin, Malina Osman, Natsumi Ishida, Kosuke Tashiro, Kenji Sakai, Yukihiro Tashiro, Toshinari Maeda, Yoshihito Shirai

Abstract

This study adopts the pyrosequencing technique to identify bacteria present on 26 kitchen cutting boards collected from different grades of food premises around Seri Kembangan, a city in Malaysia. Pyrosequencing generated 452,401 of total reads of OTUs with an average of 1.4×10(7) bacterial cells/cm(2). Proteobacteria, Firmicutes and Bacteroides were identified as the most abundant phyla in the samples. Taxonomic richness was generally high with >1000 operational taxonomic units (OTUs) observed across all samples. The highest appearance frequencies (100%) were OTUs closely related to Enterobacter sp., Enterobacteraerogenes, Pseudomonas sp. and Pseudomonas putida. Several OTUs were identified most closely related to known food-borne pathogens, including Bacillus cereus, Cronobacter sakazaki, Cronobacter turisensis, Escherichia coli, E. coli O157:H7, Hafnia alvei, Kurthia gibsonii, Salmonella bongori, Salmonella enterica, Salmonella paratyphi, Salmonella tyhpi, Salmonella typhimurium and Yersinia enterocolitica ranging from 0.005% to 0.68% relative abundance. The condition and grade of the food premises on a three point cleanliness scale did not correlate with the bacterial abundance and type. Regardless of the status and grades, all food premises have the same likelihood to introduce food-borne bacteria from cutting boards to their foods and must always prioritize the correct food handling procedure in order to avoid unwanted outbreak of food-borne illnesses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
United States 1 <1%
Unknown 113 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 19%
Student > Master 21 18%
Student > Ph. D. Student 11 10%
Student > Postgraduate 8 7%
Researcher 5 4%
Other 18 16%
Unknown 30 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 27%
Medicine and Dentistry 11 10%
Biochemistry, Genetics and Molecular Biology 10 9%
Environmental Science 6 5%
Nursing and Health Professions 5 4%
Other 20 17%
Unknown 32 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 May 2015.
All research outputs
#14,913,921
of 25,373,627 outputs
Outputs from International Journal of Food Microbiology
#2,448
of 3,781 outputs
Outputs of similar age
#183,299
of 361,202 outputs
Outputs of similar age from International Journal of Food Microbiology
#19
of 58 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 34th percentile – i.e., 34% 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 361,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 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 65% of its contemporaries.