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Cellular and Circuitry Bases of Autism: Lessons Learned from the Temporospatial Manipulation of Autism Genes in the Brain

Overview of attention for article published in Neuroscience Bulletin, March 2017
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Title
Cellular and Circuitry Bases of Autism: Lessons Learned from the Temporospatial Manipulation of Autism Genes in the Brain
Published in
Neuroscience Bulletin, March 2017
DOI 10.1007/s12264-017-0112-7
Pubmed ID
Authors

Samuel W. Hulbert, Yong-hui Jiang

Abstract

Transgenic mice carrying mutations that cause Autism Spectrum Disorders (ASDs) continue to be valuable for determining the molecular underpinnings of the disorders. Recently, researchers have taken advantage of such models combined with Cre-loxP and similar systems to manipulate gene expression over space and time. Thus, a clearer picture is starting to emerge of the cell types, circuits, brain regions, and developmental time periods underlying ASDs. ASD-causing mutations have been restricted to or rescued specifically in excitatory or inhibitory neurons, different neurotransmitter systems, and cells specific to the forebrain or cerebellum. In addition, mutations have been induced or corrected in adult mice, providing some evidence for the plasticity and reversibility of core ASD symptoms. The limited availability of Cre lines that are highly specific to certain cell types or time periods provides a challenge to determining the cellular and circuitry bases of autism, but other technological advances may eventually overcome this obstacle.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 18%
Student > Ph. D. Student 12 18%
Student > Master 10 15%
Researcher 8 12%
Other 5 7%
Other 8 12%
Unknown 13 19%
Readers by discipline Count As %
Neuroscience 21 31%
Psychology 9 13%
Agricultural and Biological Sciences 6 9%
Biochemistry, Genetics and Molecular Biology 5 7%
Medicine and Dentistry 5 7%
Other 6 9%
Unknown 16 24%
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 10 March 2017.
All research outputs
#18,811,512
of 23,313,051 outputs
Outputs from Neuroscience Bulletin
#510
of 798 outputs
Outputs of similar age
#236,074
of 308,785 outputs
Outputs of similar age from Neuroscience Bulletin
#17
of 21 outputs
Altmetric has tracked 23,313,051 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 798 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.