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The State of “Omics” Research for Farmed Penaeids: Advances in Research and Impediments to Industry Utilization

Overview of attention for article published in Frontiers in Genetics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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17 X users

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Title
The State of “Omics” Research for Farmed Penaeids: Advances in Research and Impediments to Industry Utilization
Published in
Frontiers in Genetics, August 2018
DOI 10.3389/fgene.2018.00282
Pubmed ID
Authors

Jarrod L. Guppy, David B. Jones, Dean R. Jerry, Nicholas M. Wade, Herman W. Raadsma, Roger Huerlimann, Kyall R. Zenger

Abstract

Elucidating the underlying genetic drivers of production traits in agricultural and aquaculture species is critical to efforts to maximize farming efficiency. "Omics" based methods (i.e., transcriptomics, genomics, proteomics, and metabolomics) are increasingly being applied to gain unprecedented insight into the biology of many aquaculture species. While the culture of penaeid shrimp has increased markedly, the industry continues to be impeded in many regards by disease, reproductive dysfunction, and a poor understanding of production traits. Extensive effort has been, and continues to be, applied to develop critical genomic resources for many commercially important penaeids. However, the industry application of these genomic resources, and the translation of the knowledge derived from "omics" studies has not yet been completely realized. Integration between the multiple "omics" resources now available (i.e., genome assemblies, transcriptomes, linkage maps, optical maps, and proteomes) will prove critical to unlocking the full utility of these otherwise independently developed and isolated resources. Furthermore, emerging "omics" based techniques are now available to address longstanding issues with completing keystone genome assemblies (e.g., through long-read sequencing), and can provide cost-effective industrial scale genotyping tools (e.g., through low density SNP chips and genotype-by-sequencing) to undertake advanced selective breeding programs (i.e., genomic selection) and powerful genome-wide association studies. In particular, this review highlights the status, utility and suggested path forward for continued development, and improved use of "omics" resources in penaeid aquaculture.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Master 11 15%
Student > Ph. D. Student 5 7%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 23 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 31%
Biochemistry, Genetics and Molecular Biology 13 18%
Engineering 3 4%
Chemistry 2 3%
Unspecified 1 1%
Other 4 6%
Unknown 26 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2018.
All research outputs
#3,096,923
of 24,213,825 outputs
Outputs from Frontiers in Genetics
#851
of 13,008 outputs
Outputs of similar age
#61,012
of 334,856 outputs
Outputs of similar age from Frontiers in Genetics
#20
of 159 outputs
Altmetric has tracked 24,213,825 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,008 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 93% 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 334,856 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 81% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.