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Integrating anatomy and function for zebrafish circuit analysis

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Integrating anatomy and function for zebrafish circuit analysis
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00074
Pubmed ID
Authors

Aristides B. Arrenberg, Wolfgang Driever

Abstract

Due to its transparency, virtually every brain structure of the larval zebrafish is accessible to light-based interrogation of circuit function. Advanced stimulation techniques allow the activation of optogenetic actuators at different resolution levels, and genetically encoded calcium indicators report the activity of a large proportion of neurons in the CNS. Large datasets result and need to be analyzed to identify cells that have specific properties-e.g., activity correlation to sensory stimulation or behavior. Advances in three-dimensional (3D) functional mapping in zebrafish are promising; however, the mere coordinates of implicated neurons are not sufficient. To comprehensively understand circuit function, these functional maps need to be placed into the proper context of morphological features and projection patterns, neurotransmitter phenotypes, and key anatomical landmarks. We discuss the prospect of merging functional and anatomical data in an integrated atlas from the perspective of our work on long-range dopaminergic neuromodulation and the oculomotor system. We propose that such a resource would help researchers to surpass current hurdles in circuit analysis to achieve an integrated understanding of anatomy and function.

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

Geographical breakdown

Country Count As %
United States 4 3%
France 1 <1%
Portugal 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 138 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 32 22%
Student > Master 25 17%
Student > Bachelor 12 8%
Student > Doctoral Student 5 3%
Other 18 12%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 39%
Neuroscience 44 30%
Biochemistry, Genetics and Molecular Biology 6 4%
Medicine and Dentistry 4 3%
Chemistry 4 3%
Other 15 10%
Unknown 16 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Frontiers in Neural Circuits
#1,026
of 1,209 outputs
Outputs of similar age
#248,737
of 280,717 outputs
Outputs of similar age from Frontiers in Neural Circuits
#137
of 173 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.