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Modeling neuronal consequences of autism-associated gene regulatory variants with human induced pluripotent stem cells

Overview of attention for article published in Molecular Autism, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
4 tweeters

Citations

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3 Dimensions

Readers on

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64 Mendeley
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Title
Modeling neuronal consequences of autism-associated gene regulatory variants with human induced pluripotent stem cells
Published in
Molecular Autism, May 2020
DOI 10.1186/s13229-020-00333-6
Pubmed ID
Authors

P. Joel Ross, Rebecca S. F. Mok, Brandon S. Smith, Deivid C. Rodrigues, Marat Mufteev, Stephen W. Scherer, James Ellis

Abstract

Genetic factors contribute to the development of autism spectrum disorder (ASD), and although non-protein-coding regions of the genome are being increasingly implicated in ASD, the functional consequences of these variants remain largely uncharacterized. Induced pluripotent stem cells (iPSCs) enable the production of personalized neurons that are genetically matched to people with ASD and can therefore be used to directly test the effects of genomic variation on neuronal gene expression, synapse function, and connectivity. The combined use of human pluripotent stem cells with genome editing to introduce or correct specific variants has proved to be a powerful approach for exploring the functional consequences of ASD-associated variants in protein-coding genes and, more recently, long non-coding RNAs (lncRNAs). Here, we review recent studies that implicate lncRNAs, other non-coding mutations, and regulatory variants in ASD susceptibility. We also discuss experimental design considerations for using iPSCs and genome editing to study the role of the non-protein-coding genome in ASD.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 8 13%
Other 4 6%
Student > Bachelor 4 6%
Researcher 4 6%
Other 13 20%
Unknown 19 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 22%
Psychology 11 17%
Neuroscience 5 8%
Medicine and Dentistry 4 6%
Agricultural and Biological Sciences 2 3%
Other 9 14%
Unknown 19 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 February 2021.
All research outputs
#11,615,918
of 20,250,483 outputs
Outputs from Molecular Autism
#498
of 624 outputs
Outputs of similar age
#141,379
of 294,774 outputs
Outputs of similar age from Molecular Autism
#1
of 1 outputs
Altmetric has tracked 20,250,483 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one is in the 18th percentile – i.e., 18% 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 294,774 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 51% of its contemporaries.
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