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Rebuilding a realistic corticostriatal “social network” from dissociated cells

Overview of attention for article published in Frontiers in Systems Neuroscience, April 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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3 news outlets
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3 blogs
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12 X users

Citations

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6 Dimensions

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42 Mendeley
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Title
Rebuilding a realistic corticostriatal “social network” from dissociated cells
Published in
Frontiers in Systems Neuroscience, April 2015
DOI 10.3389/fnsys.2015.00063
Pubmed ID
Authors

Marianela Garcia-Munoz, Eddy Taillefer, Reuven Pnini, Catherine Vickers, Jonathan Miller, Gordon W. Arbuthnott

Abstract

Many of the methods available for the study of cortical influences on striatal neurons have serious problems. In vivo the connectivity is so complex that the study of input from an individual cortical neuron to a single striatal cell is nearly impossible. Mixed corticostriatal cultures develop many connections from striatal cells to cortical cells, in striking contrast to the fact that only connections from cortical cells to striatal cells are present in vivo. Furthermore, interneuron populations are over-represented in organotypic cultures. For these reasons, we have developed a method for growing cortical and striatal neurons in separated compartments that allows cortical neurons to innervate striatal cells in culture. The method works equally well for acutely dissociated or cryopreserved neurons and allows a number of manipulations that are not otherwise possible. Either cortical or striatal compartments can be transfected with channel rhodopsins. The activity of both areas can be recorded in multielectrode arrays or individual patch recordings from pairs of cells. Finally, corticostriatal connections can be severed acutely. This procedure enables determination of the importance of corticostriatal interaction in the resting pattern of activity. These cultures also facilitate development of sensitive analytical network methods to track connectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 26%
Student > Ph. D. Student 10 24%
Student > Master 4 10%
Student > Bachelor 3 7%
Other 2 5%
Other 3 7%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 31%
Neuroscience 7 17%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 3 7%
Medicine and Dentistry 2 5%
Other 3 7%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 03 September 2015.
All research outputs
#740,503
of 22,797,621 outputs
Outputs from Frontiers in Systems Neuroscience
#53
of 1,342 outputs
Outputs of similar age
#10,018
of 264,967 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#2
of 56 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 96% 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 264,967 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 96% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.