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Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline

Overview of attention for article published in Frontiers in Genetics, 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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
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4 X users

Citations

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22 Dimensions

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56 Mendeley
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Title
Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline
Published in
Frontiers in Genetics, August 2018
DOI 10.3389/fgene.2018.00294
Pubmed ID
Authors

Shinya Tasaki, Chris Gaiteri, Sara Mostafavi, Lei Yu, Yanling Wang, Philip L. De Jager, David A. Bennett

Abstract

Multiple aspects of molecular regulation, including genetics, epigenetics, and mRNA collectively influence the development of age-related neurologic diseases. Therefore, with the ultimate goal of understanding molecular systems associated with cognitive decline, we infer directed interactions among regulatory elements in the local regulatory vicinity of individual genes based on brain multi-omics data from 413 individuals. These local regulatory networks (LRNs) capture the influences of genetics and epigenetics on gene expression in older adults. LRNs were confirmed through correspondence to known transcription biophysics. To relate LRNs to age-related neurologic diseases, we then incorporate common neuropathologies and measures of cognitive decline into this framework. This step identifies a specific set of largely neuronal genes, such as STAU1 and SEMA3F, predicted to control cognitive decline in older adults. These predictions are validated in separate cohorts by comparison to genetic associations for general cognition. LRNs are shared through www.molecular.network on the Rush Alzheimer's Disease Center Resource Sharing Hub (www.radc.rush.edu).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 21%
Student > Ph. D. Student 7 13%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 4 7%
Other 10 18%
Unknown 14 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 21%
Neuroscience 9 16%
Medicine and Dentistry 4 7%
Agricultural and Biological Sciences 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 9 16%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 August 2018.
All research outputs
#2,925,021
of 23,099,576 outputs
Outputs from Frontiers in Genetics
#824
of 12,152 outputs
Outputs of similar age
#61,033
of 331,387 outputs
Outputs of similar age from Frontiers in Genetics
#26
of 168 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 93% 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 331,387 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 81% of its contemporaries.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.