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Prevalence of Antibiotic-Resistant Escherichia coli in Drinking Water Sources in Hangzhou City

Overview of attention for article published in Frontiers in Microbiology, June 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Prevalence of Antibiotic-Resistant Escherichia coli in Drinking Water Sources in Hangzhou City
Published in
Frontiers in Microbiology, June 2017
DOI 10.3389/fmicb.2017.01133
Pubmed ID
Authors

Zhaojun Chen, Daojun Yu, Songzhe He, Hui Ye, Lei Zhang, Yanping Wen, Wenhui Zhang, Liping Shu, Shuchang Chen

Abstract

This study investigated the distribution of antibiotic resistant Escherichia coli (E. coli) and examined the possible relationship between water quality parameters and antibiotic resistance from two different drinking water sources (the Qiantang River and the Dongtiao Stream) in Hangzhou city of China. E. coli isolates were tested for their susceptibility to 18 antibiotics. Most of the isolates were resistant to tetracycline (TE), followed by ampicillin (AM), piperacillin (PIP), trimethoprim/sulfamethoxazole (SXT), and chloramphenicol (C). The antibiotic resistance rate of E. coli isolates from two water sources was similar; For E. coli isolates from the Qiantang River, their antibiotic resistance rates decreased from up- to downstream. Seasonally, the dry and wet season had little impact on antibiotic resistance. Spearman's rank correlation revealed significant correlation between resistance to TE and phenicols or ciprofloxacin (CIP), as well as quinolones (ciprofloxacin and levofloxacin) and cephalosporins or gentamicin (GM). Pearson's chi-square tests found certain water parameters such as nutrient concentration were strongly associated with resistance to some of the antibiotics. In addition, tet genes were detected from all 82 TE-resistant E. coli isolates, and most of the isolates (81.87%) contained multiple tet genes, which displayed 14 different combinations. Collectively, this study provided baseline data on antibiotic resistance of drinking water sources in Hangzhou city, which indicates drinking water sources could be the reservoir of antibiotic resistance, potentially presenting a public health risk.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 13%
Student > Ph. D. Student 18 12%
Student > Bachelor 16 11%
Researcher 12 8%
Student > Postgraduate 8 5%
Other 20 13%
Unknown 57 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 11%
Immunology and Microbiology 16 11%
Agricultural and Biological Sciences 16 11%
Environmental Science 11 7%
Engineering 8 5%
Other 18 12%
Unknown 66 44%
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 07 October 2017.
All research outputs
#13,644,005
of 24,051,764 outputs
Outputs from Frontiers in Microbiology
#9,773
of 27,056 outputs
Outputs of similar age
#140,495
of 294,799 outputs
Outputs of similar age from Frontiers in Microbiology
#277
of 527 outputs
Altmetric has tracked 24,051,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,056 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 63% 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 294,799 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.