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A viral strategy for targeting and manipulating interneurons across vertebrate species

Overview of attention for article published in Nature Neuroscience, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
42 tweeters
patent
10 patents
facebook
1 Facebook page

Citations

dimensions_citation
209 Dimensions

Readers on

mendeley
700 Mendeley
citeulike
1 CiteULike
Title
A viral strategy for targeting and manipulating interneurons across vertebrate species
Published in
Nature Neuroscience, October 2016
DOI 10.1038/nn.4430
Pubmed ID
Authors

Jordane Dimidschstein, Qian Chen, Robin Tremblay, Stephanie L Rogers, Giuseppe-Antonio Saldi, Lihua Guo, Qing Xu, Runpeng Liu, Congyi Lu, Jianhua Chu, Joshua S Grimley, Anne-Rachel Krostag, Ajamete Kaykas, Michael C Avery, Mohammad S Rashid, Myungin Baek, Amanda L Jacob, Gordon B Smith, Daniel E Wilson, Georg Kosche, Illya Kruglikov, Tomasz Rusielewicz, Vibhakar C Kotak, Todd M Mowery, Stewart A Anderson, Edward M Callaway, Jeremy S Dasen, David Fitzpatrick, Valentina Fossati, Michael A Long, Scott Noggle, John H Reynolds, Dan H Sanes, Bernardo Rudy, Guoping Feng, Gord Fishell

Abstract

A fundamental impediment to understanding the brain is the availability of inexpensive and robust methods for targeting and manipulating specific neuronal populations. The need to overcome this barrier is pressing because there are considerable anatomical, physiological, cognitive and behavioral differences between mice and higher mammalian species in which it is difficult to specifically target and manipulate genetically defined functional cell types. In particular, it is unclear the degree to which insights from mouse models can shed light on the neural mechanisms that mediate cognitive functions in higher species, including humans. Here we describe a novel recombinant adeno-associated virus that restricts gene expression to GABAergic interneurons within the telencephalon. We demonstrate that the viral expression is specific and robust, allowing for morphological visualization, activity monitoring and functional manipulation of interneurons in both mice and non-genetically tractable species, thus opening the possibility to study GABAergic function in virtually any vertebrate species.

Twitter Demographics

The data shown below were collected from the profiles of 42 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 700 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
United Kingdom 3 <1%
Japan 2 <1%
Switzerland 2 <1%
Norway 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 686 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 187 27%
Researcher 159 23%
Student > Master 63 9%
Student > Bachelor 50 7%
Student > Doctoral Student 40 6%
Other 105 15%
Unknown 96 14%
Readers by discipline Count As %
Neuroscience 296 42%
Agricultural and Biological Sciences 180 26%
Biochemistry, Genetics and Molecular Biology 31 4%
Medicine and Dentistry 24 3%
Engineering 14 2%
Other 42 6%
Unknown 113 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 02 July 2021.
All research outputs
#791,378
of 18,815,138 outputs
Outputs from Nature Neuroscience
#1,393
of 4,855 outputs
Outputs of similar age
#20,662
of 304,086 outputs
Outputs of similar age from Nature Neuroscience
#37
of 69 outputs
Altmetric has tracked 18,815,138 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.0. This one has gotten more attention than average, scoring higher than 71% 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 304,086 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 93% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.