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Current Advances on Virus Discovery and Diagnostic Role of Viral Metagenomics in Aquatic Organisms

Overview of attention for article published in Frontiers in Microbiology, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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10 X users
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1 patent

Citations

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35 Dimensions

Readers on

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111 Mendeley
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Title
Current Advances on Virus Discovery and Diagnostic Role of Viral Metagenomics in Aquatic Organisms
Published in
Frontiers in Microbiology, March 2017
DOI 10.3389/fmicb.2017.00406
Pubmed ID
Authors

Hetron M. Munang'andu, Kizito K. Mugimba, Denis K. Byarugaba, Stephen Mutoloki, Øystein Evensen

Abstract

The global expansion of the aquaculture industry has brought with it a corresponding increase of novel viruses infecting different aquatic organisms. These emerging viral pathogens have proved to be a challenge to the use of traditional cell-cultures and immunoassays for identification of new viruses especially in situations where the novel viruses are unculturable and no antibodies exist for their identification. Viral metagenomics has the potential to identify novel viruses without prior knowledge of their genomic sequence data and may provide a solution for the study of unculturable viruses. This review provides a synopsis on the contribution of viral metagenomics to the discovery of viruses infecting different aquatic organisms as well as its potential role in viral diagnostics. High throughput Next Generation sequencing (NGS) and library construction used in metagenomic projects have simplified the task of generating complete viral genomes unlike the challenge faced in traditional methods that use multiple primers targeted at different segments and VPs to generate the entire genome of a novel virus. In terms of diagnostics, studies carried out this far show that viral metagenomics has the potential to serve as a multifaceted tool able to study and identify etiological agents of single infections, co-infections, tissue tropism, profiling viral infections of different aquatic organisms, epidemiological monitoring of disease prevalence, evolutionary phylogenetic analyses, and the study of genomic diversity in quasispecies viruses. With sequencing technologies and bioinformatics analytical tools becoming cheaper and easier, we anticipate that metagenomics will soon become a routine tool for the discovery, study, and identification of novel pathogens including viruses to enable timely disease control for emerging diseases in aquaculture.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 109 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 14%
Student > Ph. D. Student 15 14%
Student > Master 10 9%
Student > Bachelor 10 9%
Professor > Associate Professor 8 7%
Other 19 17%
Unknown 33 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 29%
Biochemistry, Genetics and Molecular Biology 17 15%
Veterinary Science and Veterinary Medicine 9 8%
Immunology and Microbiology 4 4%
Medicine and Dentistry 4 4%
Other 12 11%
Unknown 33 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 December 2019.
All research outputs
#4,486,874
of 26,397,269 outputs
Outputs from Frontiers in Microbiology
#4,102
of 30,274 outputs
Outputs of similar age
#72,019
of 327,290 outputs
Outputs of similar age from Frontiers in Microbiology
#121
of 474 outputs
Altmetric has tracked 26,397,269 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 86% 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 327,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 474 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.