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Genomic fingerprints of Escherichia coli strains isolated from surface water in Alborz province, Iran

Overview of attention for article published in BMC Research Notes, July 2017
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Title
Genomic fingerprints of Escherichia coli strains isolated from surface water in Alborz province, Iran
Published in
BMC Research Notes, July 2017
DOI 10.1186/s13104-017-2575-z
Pubmed ID
Authors

Reza Ranjbar, Parichehr Pezeshknejad, Faham Khamesipour, Kiumars Amini, Roohollah Kheiri

Abstract

Consistent use of suitable diagnostic methods is essential to evaluate the genomic diversity of E. coli strains. Advance of efficient methods to discriminate the causes of E. coli in aquatic environments is important. This study aimed to describe the strain diversity of an E. coli population retrieved from surface water. One hundred water samples were drawn within a period of 1 year, from May 2012 to May 2013, and E. coli bacteria have been isolated from water samples. The genomic diversity analysis of 100 isolates of E. coli (one isolate per sample) has been carried out with the use of the ERIC-PCR fingerprinting method. Overall, our data indicated that complex fingerprint patterns have been obtained for totally of the isolates. Highest number of strains were in E4 (20 strains with more than 20% similarity) and lowest number of strains were in E3 (5 strains) group. In addition, there was no similarity in E1 (9 strains), E8 (10 strains) and E9 (7 strains) clusters. Therefore, the occurrence of potential pathogenic E. coli and diversity of E. coli strains in surface water in Alborz province, Iran could pose a possible risk to animal health and human if not disinfected well.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Doctoral Student 2 7%
Other 2 7%
Student > Ph. D. Student 2 7%
Student > Master 1 4%
Other 3 11%
Unknown 12 44%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 15%
Immunology and Microbiology 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Veterinary Science and Veterinary Medicine 2 7%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 14 52%
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 22 July 2017.
All research outputs
#18,562,247
of 22,990,068 outputs
Outputs from BMC Research Notes
#3,037
of 4,284 outputs
Outputs of similar age
#241,327
of 315,207 outputs
Outputs of similar age from BMC Research Notes
#93
of 145 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 16th percentile – i.e., 16% 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 315,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.