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Zebrafish Models of Neurodevelopmental Disorders: Past, Present, and Future

Overview of attention for article published in Frontiers in Molecular Neuroscience, 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Zebrafish Models of Neurodevelopmental Disorders: Past, Present, and Future
Published in
Frontiers in Molecular Neuroscience, August 2018
DOI 10.3389/fnmol.2018.00294
Pubmed ID
Authors

Catalina Sakai, Sundas Ijaz, Ellen J. Hoffman

Abstract

Zebrafish are increasingly being utilized as a model system to investigate the function of the growing list of risk genes associated with neurodevelopmental disorders. This is due in large part to the unique features of zebrafish that make them an optimal system for this purpose, including rapid, external development of transparent embryos, which enable the direct visualization of the developing nervous system during early stages, large progenies, which provide considerable tractability for performing high-throughput pharmacological screens to identify small molecule suppressors of simple behavioral phenotypes, and ease of genetic manipulation, which has been greatly facilitated by the advent of CRISPR/Cas9 gene editing technologies. This review article focuses on studies that have harnessed these advantages of the zebrafish system for the functional analysis of genes that are strongly associated with the following neurodevelopmental disorders: autism spectrum disorders (ASD), epilepsy, intellectual disability (ID) and schizophrenia. We focus primarily on studies describing early morphological and behavioral phenotypes during embryonic and larval stages resulting from loss of risk gene function. We highlight insights into basic mechanisms of risk gene function gained from these studies as well as limitations of studies to date. Finally, we discuss advances in in vivo neural circuit imaging in zebrafish, which promise to transform research using the zebrafish model by illuminating novel circuit-level mechanisms with relevance to neurodevelopmental disorders.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 278 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 17%
Student > Ph. D. Student 32 12%
Researcher 28 10%
Student > Bachelor 27 10%
Student > Doctoral Student 12 4%
Other 35 13%
Unknown 96 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 19%
Neuroscience 35 13%
Pharmacology, Toxicology and Pharmaceutical Science 19 7%
Agricultural and Biological Sciences 18 6%
Medicine and Dentistry 15 5%
Other 35 13%
Unknown 104 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 April 2019.
All research outputs
#2,477,686
of 24,953,268 outputs
Outputs from Frontiers in Molecular Neuroscience
#242
of 3,262 outputs
Outputs of similar age
#49,367
of 340,449 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#17
of 139 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 92% 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 340,449 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 85% of its contemporaries.
We're also able to compare this research output to 139 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.