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Q-PCR Based Culture-Independent Enumeration and Detection of Enterobacter: An Emerging Environmental Human Pathogen in Riverine Systems and Potable Water

Overview of attention for article published in Frontiers in Microbiology, February 2016
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Title
Q-PCR Based Culture-Independent Enumeration and Detection of Enterobacter: An Emerging Environmental Human Pathogen in Riverine Systems and Potable Water
Published in
Frontiers in Microbiology, February 2016
DOI 10.3389/fmicb.2016.00172
Pubmed ID
Authors

Chandra B. Patel, Rishi Shanker, Vijai K. Gupta, Ram S. Upadhyay

Abstract

The availability of safe and pristine water is a global challenge when large numbers of natural and anthropogenic water resources are being depleted with faster rate. The remaining water resources are severely contaminated with various kinds of contaminants including microorganisms. Enterobacter is one of the fecal coliform bacteria of family Enterobacteriaceae. Enterobacter was earlier used as an indicator bacterium along with other fecal Coliforms namely Escherichia coli, Citrobacter, and Klebsiella, but it is now known to cause various diseases in human beings. In this study, we have collected 55 samples from potable water and riverine system and proved their presence using their conserved sequences of 16S rRNA and 23S rRNA genes with the help of SYBR green real-time PCR, which showed very high specificity for the detection of Enterobacter. The Enterobacter counts in potable water were found to 1290 ± 32.89 to 1460 ± 39.42 cfu/100 ml. The Enterobacter levels in surface water were 1.76 × 10(4) ± 492, 1.33 × 10(4) ± 334, 1.15 × 10(4) ± 308, 2.56 × 10(4) ± 802, 2.89 × 10(4) ± 962, 8.16 × 10(4) ± 3443 cfu/100 ml; the levels of Enterobacter contamination associated with hydrophytes were 4.80 × 10(4) ± 1804, 3.48 × 10(4) ± 856, 8.50 × 10(4) ± 2074, 8.09 × 10(4) ± 1724, 6.30 × 10(4) ± 1738, 3.68 × 10(4) ± 949 cfu/10 g and the Enterobacter counts in sediments of the river, were 2.36 × 10(4) ± 703, 1.98 × 10(4) ± 530, 9.92 × 10(4) ± 3839, 6.80 × 10(4) ± 2230, 8.76 × 10(4) ± 3066 and 2.34 × 10(4) ± 732 cfu/10 g at the sampling Site #1, Site #2, Site #3, Site #4, Site #5, and Site #6, respectively. The assay could be used for the regular monitoring of potable water and other water reservoirs to check waterborne outbreaks.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 8 18%
Student > Bachelor 5 11%
Student > Ph. D. Student 3 7%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 12 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 7 16%
Immunology and Microbiology 6 13%
Environmental Science 3 7%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 7%
Unknown 16 36%
Attention Score in Context

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 March 2016.
All research outputs
#17,787,961
of 22,849,304 outputs
Outputs from Frontiers in Microbiology
#17,217
of 24,853 outputs
Outputs of similar age
#202,631
of 297,955 outputs
Outputs of similar age from Frontiers in Microbiology
#369
of 535 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,853 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 22nd percentile – i.e., 22% 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 297,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.