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Rapid Detection and Monitoring of Flavobacterium psychrophilum in Water by Using a Handheld, Field‐Portable Quantitative PCR System

Overview of attention for article published in Journal of Aquatic Animal Health, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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7 X users

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67 Mendeley
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Article details
Title
Rapid Detection and Monitoring of Flavobacterium psychrophilum in Water by Using a Handheld, Field‐Portable Quantitative PCR System
Published in
Journal of Aquatic Animal Health, November 2018
DOI 10.1002/aah.10046
Pubmed ID
Authors
Abstract

Advances in technology are making it easier for rapid, field detection of microbes in aquaculture. Specifically, real-time polymerase chain reaction (qPCR) analysis, which has traditionally been confined to laboratory-based protocols, is now available in a handheld field-portable system. The feasibility of using the Biomeme handheld qPCR system for rapid (<50 min) on-site detection and monitoring of Flavobacterium psychrophilum from filtered water samples was evaluated. Paired water samples were collected over a 23-d period from microcosm tanks that housed fish injected with known F. psychrophilum levels. Water samples were filtered through 0.45 μm nitrocellulose filters and analyzed with both the Biomeme qPCR platform and a traditional bench qPCR protocol. Both methods identified similar fluctuations in F. pychrophilum DNA throughout the study. Standard curves relating quantification cycles to the number of F. pychrophilum colony forming units (CFU) were constructed and analyzed, and results indicate that CFU increased rapidly between days 6 and 8 of the trial, then progressively decreased during the remaining 15 days. Average calculated log(CFU/mL) values were significantly correlated between the two platforms (r = 0.79, p = 0.006). Rapid, field-based qPCR can be incorporated into daily water quality monitoring protocols to help detect and monitor microbes in aquaculture systems. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 9 13%
Student > Bachelor 6 9%
Student > Master 5 7%
Other 4 6%
Other 4 6%
Unknown 25 37%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 13 19%
Environmental Science 7 10%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 5 7%
Immunology and Microbiology 3 4%
Other 6 9%
Unknown 27 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 05 September 2019.
All research outputs
#6,712,232
of 24,451,065 outputs
Outputs from Journal of Aquatic Animal Health
#59
of 291 outputs
Outputs of similar age
#130,875
of 446,697 outputs
Outputs of similar age from Journal of Aquatic Animal Health
#3
of 9 outputs
Altmetric has tracked 24,451,065 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 291 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 79% 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 446,697 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 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.