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Human Cortical Thickness Organized into Genetically-determined Communities across Spatial Resolutions

Overview of attention for article published in Cerebral Cortex, November 2017
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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38 X users

Citations

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20 Dimensions

Readers on

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44 Mendeley
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Title
Human Cortical Thickness Organized into Genetically-determined Communities across Spatial Resolutions
Published in
Cerebral Cortex, November 2017
DOI 10.1093/cercor/bhx309
Pubmed ID
Authors

Aaron F Alexander-Bloch, Samuel R Mathias, Peter T Fox, Rene L Olvera, Harold H H Göring, Ravi Duggirala, Joanne E Curran, John Blangero, David C Glahn

Abstract

The cerebral cortex may be organized into anatomical genetic modules, communities of brain regions with shared genetic influences via pleiotropy. Such modules could represent novel phenotypes amenable to large-scale gene discovery. This modular structure was investigated with network analysis of in vivo MRI of extended pedigrees, revealing a "multiscale" structure where smaller and larger modules exist simultaneously and in partially overlapping fashion across spatial scales, in contrast to prior work suggesting a specific number of cortical thickness modules. Inter-regional genetic correlations, gene co-expression patterns and computational models indicate that two simple organizational principles account for a large proportion of the apparent complexity in the network of genetic correlations. First, regions are strongly genetically correlated with their homologs in the opposite cerebral hemisphere. Second, regions are strongly genetically correlated with nearby regions in the same hemisphere, with an initial steep decrease in genetic correlation with anatomical distance, followed by a more gradual decline. Understanding underlying organizational principles of genetic influence is a critical step towards a mechanistic model of how specific genes influence brain anatomy and mediate neuropsychiatric risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Other 5 11%
Professor 4 9%
Student > Doctoral Student 3 7%
Researcher 3 7%
Other 10 23%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 6 14%
Neuroscience 6 14%
Psychology 4 9%
Agricultural and Biological Sciences 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 9 20%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 January 2019.
All research outputs
#1,838,971
of 24,639,073 outputs
Outputs from Cerebral Cortex
#608
of 5,073 outputs
Outputs of similar age
#41,179
of 448,696 outputs
Outputs of similar age from Cerebral Cortex
#18
of 87 outputs
Altmetric has tracked 24,639,073 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,073 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 88% 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 448,696 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 90% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.