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Reviews of Physiology, Biochemistry and Pharmacology

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Attention for Chapter 65: Inherited Ventricular Arrhythmia in Zebrafish: Genetic Models and Phenotyping Tools.
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Chapter title
Inherited Ventricular Arrhythmia in Zebrafish: Genetic Models and Phenotyping Tools.
Chapter number 65
Book title
Reviews of Physiology, Biochemistry and Pharmacology
Published in
Reviews of Physiology, Biochemistry and Pharmacology, September 2021
DOI 10.1007/112_2021_65
Pubmed ID
Book ISBNs
978-3-03-124203-8, 978-3-03-124204-5
Authors

Sieliwonczyk, Ewa, Matchkov, Vladimir V, Vandendriessche, Bert, Alaerts, Maaike, Bakkers, Jeroen, Loeys, Bart, Schepers, Dorien, Matchkov, Vladimir V.

Abstract

In the last years, the field of inheritable ventricular arrhythmia disease modelling has changed significantly with a push towards the use of novel cellular cardiomyocyte based models. However, there is a growing need for new in vivo models to study the disease pathology at the tissue and organ level. Zebrafish provide an excellent opportunity for in vivo modelling of inheritable ventricular arrhythmia syndromes due to the remarkable similarity between their cardiac electrophysiology and that of humans. Additionally, many state-of-the-art methods in gene editing and electrophysiological phenotyping are available for zebrafish research. In this review, we give a comprehensive overview of the published zebrafish genetic models for primary electrical disorders and arrhythmogenic cardiomyopathy. We summarise and discuss the strengths and weaknesses of the different technical approaches for the generation of genetically modified zebrafish disease models, as well as the electrophysiological approaches in zebrafish phenotyping. By providing this detailed overview, we aim to draw attention to the potential of the zebrafish model for studying arrhythmia syndromes at the organ level and as a platform for personalised medicine and drug testing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 September 2021.
All research outputs
#18,802,560
of 23,302,246 outputs
Outputs from Reviews of Physiology, Biochemistry and Pharmacology
#71
of 91 outputs
Outputs of similar age
#313,552
of 433,743 outputs
Outputs of similar age from Reviews of Physiology, Biochemistry and Pharmacology
#1
of 1 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 91 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 433,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them