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Spatiotemporal profile of postsynaptic interactomes integrates components of complex brain disorders

Overview of attention for article published in Nature Neuroscience, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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5 news outlets
blogs
1 blog
twitter
31 X users
facebook
1 Facebook page

Citations

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111 Dimensions

Readers on

mendeley
187 Mendeley
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Title
Spatiotemporal profile of postsynaptic interactomes integrates components of complex brain disorders
Published in
Nature Neuroscience, June 2017
DOI 10.1038/nn.4594
Pubmed ID
Authors

Jing Li, Wangshu Zhang, Hui Yang, Daniel P Howrigan, Brent Wilkinson, Tade Souaiaia, Oleg V Evgrafov, Giulio Genovese, Veronica A Clementel, Jennifer C Tudor, Ted Abel, James A Knowles, Benjamin M Neale, Kai Wang, Fengzhu Sun, Marcelo P Coba

Abstract

The postsynaptic density (PSD) contains a collection of scaffold proteins used for assembling synaptic signaling complexes. However, it is not known how the core-scaffold machinery associates in protein-interaction networks or how proteins encoded by genes involved in complex brain disorders are distributed through spatiotemporal protein complexes. Here using immunopurification, proteomics and bioinformatics, we isolated 2,876 proteins across 41 in vivo interactomes and determined their protein domain composition, correlation to gene expression levels and developmental integration to the PSD. We defined clusters for enrichment of schizophrenia, autism spectrum disorders, developmental delay and intellectual disability risk factors at embryonic day 14 and adult PSD in mice. Mutations in highly connected nodes alter protein-protein interactions modulating macromolecular complexes enriched in disease risk candidates. These results were integrated into a software platform, Synaptic Protein/Pathways Resource (SyPPRes), enabling the prioritization of disease risk factors and their placement within synaptic protein interaction networks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 186 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 21%
Student > Ph. D. Student 39 21%
Student > Master 18 10%
Professor > Associate Professor 11 6%
Professor 9 5%
Other 28 15%
Unknown 42 22%
Readers by discipline Count As %
Neuroscience 44 24%
Biochemistry, Genetics and Molecular Biology 28 15%
Agricultural and Biological Sciences 27 14%
Medicine and Dentistry 15 8%
Computer Science 3 2%
Other 18 10%
Unknown 52 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 06 November 2021.
All research outputs
#748,807
of 25,457,858 outputs
Outputs from Nature Neuroscience
#1,326
of 5,627 outputs
Outputs of similar age
#15,699
of 328,559 outputs
Outputs of similar age from Nature Neuroscience
#29
of 65 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,627 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.4. This one has done well, scoring higher than 76% 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 328,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.