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Relationships between Gene Expression and Brain Wiring in the Adult Rodent Brain

Overview of attention for article published in PLoS Computational Biology, January 2011
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About this Attention Score

  • 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 (86th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

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130 Dimensions

Readers on

mendeley
190 Mendeley
citeulike
5 CiteULike
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Title
Relationships between Gene Expression and Brain Wiring in the Adult Rodent Brain
Published in
PLoS Computational Biology, January 2011
DOI 10.1371/journal.pcbi.1001049
Pubmed ID
Authors

Leon French, Paul Pavlidis

Abstract

We studied the global relationship between gene expression and neuroanatomical connectivity in the adult rodent brain. We utilized a large data set of the rat brain "connectome" from the Brain Architecture Management System (942 brain regions and over 5000 connections) and used statistical approaches to relate the data to the gene expression signatures of 17,530 genes in 142 anatomical regions from the Allen Brain Atlas. Our analysis shows that adult gene expression signatures have a statistically significant relationship to connectivity. In particular, brain regions that have similar expression profiles tend to have similar connectivity profiles, and this effect is not entirely attributable to spatial correlations. In addition, brain regions which are connected have more similar expression patterns. Using a simple optimization approach, we identified a set of genes most correlated with neuroanatomical connectivity, and find that this set is enriched for genes involved in neuronal development and axon guidance. A number of the genes have been implicated in neurodevelopmental disorders such as autistic spectrum disorder. Our results have the potential to shed light on the role of gene expression patterns in influencing neuronal activity and connectivity, with potential applications to our understanding of brain disorders. Supplementary data are available at http://www.chibi.ubc.ca/ABAMS.

X Demographics

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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 6%
Italy 2 1%
Spain 2 1%
China 2 1%
Brazil 2 1%
United Kingdom 2 1%
Czechia 1 <1%
France 1 <1%
Portugal 1 <1%
Other 4 2%
Unknown 161 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 27%
Researcher 39 21%
Student > Bachelor 18 9%
Professor > Associate Professor 16 8%
Professor 15 8%
Other 36 19%
Unknown 15 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 33%
Neuroscience 20 11%
Engineering 16 8%
Computer Science 16 8%
Biochemistry, Genetics and Molecular Biology 12 6%
Other 39 21%
Unknown 25 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 September 2011.
All research outputs
#3,011,204
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#2,663
of 8,964 outputs
Outputs of similar age
#17,564
of 190,989 outputs
Outputs of similar age from PLoS Computational Biology
#7
of 50 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 70% 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 190,989 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 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.