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Genetic diversity and virulence potential of clinical and environmental Aeromonas spp. isolates from a diarrhea outbreak

Overview of attention for article published in BMC Microbiology, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 policy source
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1 X user
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1 Wikipedia page

Citations

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30 Dimensions

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59 Mendeley
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Title
Genetic diversity and virulence potential of clinical and environmental Aeromonas spp. isolates from a diarrhea outbreak
Published in
BMC Microbiology, August 2017
DOI 10.1186/s12866-017-1089-0
Pubmed ID
Authors

Lívia Christina Alves da Silva, Tereza Cristina Leal-Balbino, Beatriz Souza Toscano de Melo, Carina Lucena Mendes-Marques, Antonio Mauro Rezende, Alzira Maria Paiva de Almeida, Nilma Cintra Leal

Abstract

Aeromonas spp. are gram-negative bacteria that can cause a variety of infections in both humans and animals and play a controversial role in diarrhea outbreaks. Our aim was to identify clinical and environmental Aeromonas isolates associated with a cholera outbreak in a northeast county of Brazil at the species level. We also aimed to determine the genetic structure of the bacterial population and the virulence potential of the Aeromonas isolates. Analysis based on concatenated sequences of the 16S rRNA and gyrB genes suggested the classification of the 119 isolates studied into the following species: A. caviae (66.9%), A. veronii (15.3%), A. aquariorum (9.3%), A. trota (3.4%), A. hydrophila (3.4%) and A. jandaei (1.7%). One isolate did not fit any Aeromonas species assessed, which might indicate a new species. The haplotype network based on 16S rRNA gene sequences identified 59 groups among the 119 isolates and 26 reference strains, and it clustered almost all A. caviae isolates into the same group. The analysis of the frequency patterns of seven virulence-associated genes (alt, ast, hlyA, aerA, exu, lip, flaA/B) revealed 29 virulence patterns composed of one to seven genes. All the isolates harbored at least one gene, and three of them harbored all seven virulence genes. The results emphasize the need to improve local water supply and maintain close monitoring of possible bacterial contamination in the drinking water.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Researcher 8 14%
Student > Bachelor 7 12%
Other 7 12%
Student > Ph. D. Student 6 10%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 17%
Biochemistry, Genetics and Molecular Biology 9 15%
Immunology and Microbiology 7 12%
Veterinary Science and Veterinary Medicine 6 10%
Nursing and Health Professions 3 5%
Other 8 14%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2023.
All research outputs
#4,683,113
of 23,454,152 outputs
Outputs from BMC Microbiology
#484
of 3,248 outputs
Outputs of similar age
#80,608
of 319,731 outputs
Outputs of similar age from BMC Microbiology
#14
of 54 outputs
Altmetric has tracked 23,454,152 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,248 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 84% 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 319,731 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 74% of its contemporaries.
We're also able to compare this research output to 54 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 74% of its contemporaries.