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Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation

Overview of attention for article published in Frontiers in Neural Circuits, July 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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3 blogs
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653 Mendeley
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Title
Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation
Published in
Frontiers in Neural Circuits, July 2014
DOI 10.3389/fncir.2014.00076
Pubmed ID
Authors

Julie A. Harris, Karla E. Hirokawa, Staci A. Sorensen, Hong Gu, Maya Mills, Lydia L. Ng, Phillip Bohn, Marty Mortrud, Benjamin Ouellette, Jolene Kidney, Kimberly A. Smith, Chinh Dang, Susan Sunkin, Amy Bernard, Seung Wook Oh, Linda Madisen, Hongkui Zeng

Abstract

Significant advances in circuit-level analyses of the brain require tools that allow for labeling, modulation of gene expression, and monitoring and manipulation of cellular activity in specific cell types and/or anatomical regions. Large-scale projects and individual laboratories have produced hundreds of gene-specific promoter-driven Cre mouse lines invaluable for enabling genetic access to subpopulations of cells in the brain. However, the potential utility of each line may not be fully realized without systematic whole brain characterization of transgene expression patterns. We established a high-throughput in situ hybridization (ISH), imaging and data processing pipeline to describe whole brain gene expression patterns in Cre driver mice. Currently, anatomical data from over 100 Cre driver lines are publicly available via the Allen Institute's Transgenic Characterization database, which can be used to assist researchers in choosing the appropriate Cre drivers for functional, molecular, or connectional studies of different regions and/or cell types in the brain.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 653 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Netherlands 2 <1%
China 2 <1%
Switzerland 1 <1%
France 1 <1%
Russia 1 <1%
Germany 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 637 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 174 27%
Researcher 150 23%
Student > Bachelor 47 7%
Student > Master 40 6%
Professor > Associate Professor 35 5%
Other 106 16%
Unknown 101 15%
Readers by discipline Count As %
Neuroscience 235 36%
Agricultural and Biological Sciences 189 29%
Biochemistry, Genetics and Molecular Biology 42 6%
Medicine and Dentistry 24 4%
Engineering 12 2%
Other 34 5%
Unknown 117 18%
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 11 August 2023.
All research outputs
#1,907,959
of 25,402,528 outputs
Outputs from Frontiers in Neural Circuits
#67
of 1,301 outputs
Outputs of similar age
#18,619
of 240,470 outputs
Outputs of similar age from Frontiers in Neural Circuits
#3
of 18 outputs
Altmetric has tracked 25,402,528 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 1,301 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 94% 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 240,470 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 92% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.