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Imaging of Functional Connectivity in the Mouse Brain

Overview of attention for article published in PLOS ONE, 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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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222 Dimensions

Readers on

mendeley
336 Mendeley
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1 CiteULike
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Title
Imaging of Functional Connectivity in the Mouse Brain
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016322
Pubmed ID
Authors

Brian R. White, Adam Q. Bauer, Abraham Z. Snyder, Bradley L. Schlaggar, Jin-Moo Lee, Joseph P. Culver

Abstract

Functional neuroimaging (e.g., with fMRI) has been difficult to perform in mice, making it challenging to translate between human fMRI studies and molecular and genetic mechanisms. A method to easily perform large-scale functional neuroimaging in mice would enable the discovery of functional correlates of genetic manipulations and bridge with mouse models of disease. To satisfy this need, we combined resting-state functional connectivity mapping with optical intrinsic signal imaging (fcOIS). We demonstrate functional connectivity in mice through highly detailed fcOIS mapping of resting-state networks across most of the cerebral cortex. Synthesis of multiple network connectivity patterns through iterative parcellation and clustering provides a comprehensive map of the functional neuroarchitecture and demonstrates identification of the major functional regions of the mouse cerebral cortex. The method relies on simple and relatively inexpensive camera-based equipment, does not require exogenous contrast agents and involves only reflection of the scalp (the skull remains intact) making it minimally invasive. In principle, fcOIS allows new paradigms linking human neuroscience with the power of molecular/genetic manipulations in mouse models.

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

Geographical breakdown

Country Count As %
United States 12 4%
Germany 3 <1%
Japan 3 <1%
United Kingdom 2 <1%
Taiwan 1 <1%
Brazil 1 <1%
Canada 1 <1%
Korea, Republic of 1 <1%
Unknown 312 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 24%
Researcher 76 23%
Professor > Associate Professor 26 8%
Student > Master 24 7%
Professor 22 7%
Other 67 20%
Unknown 39 12%
Readers by discipline Count As %
Neuroscience 80 24%
Agricultural and Biological Sciences 72 21%
Engineering 46 14%
Medicine and Dentistry 40 12%
Physics and Astronomy 12 4%
Other 32 10%
Unknown 54 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 February 2014.
All research outputs
#3,571,568
of 22,705,019 outputs
Outputs from PLOS ONE
#44,240
of 193,828 outputs
Outputs of similar age
#24,195
of 182,085 outputs
Outputs of similar age from PLOS ONE
#330
of 1,232 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 77% 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 182,085 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 86% of its contemporaries.
We're also able to compare this research output to 1,232 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 73% of its contemporaries.