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Whole-brain functional imaging at cellular resolution using light-sheet microscopy

Overview of attention for article published in Nature Methods, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 5,414)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
7 news outlets
blogs
18 blogs
twitter
357 X users
patent
17 patents
facebook
18 Facebook pages
wikipedia
1 Wikipedia page
googleplus
236 Google+ users
reddit
1 Redditor
video
6 YouTube creators

Readers on

mendeley
1991 Mendeley
citeulike
9 CiteULike
Title
Whole-brain functional imaging at cellular resolution using light-sheet microscopy
Published in
Nature Methods, March 2013
DOI 10.1038/nmeth.2434
Pubmed ID
Authors

Misha B Ahrens, Michael B Orger, Drew N Robson, Jennifer M Li, Philipp J Keller

Abstract

Brain function relies on communication between large populations of neurons across multiple brain areas, a full understanding of which would require knowledge of the time-varying activity of all neurons in the central nervous system. Here we use light-sheet microscopy to record activity, reported through the genetically encoded calcium indicator GCaMP5G, from the entire volume of the brain of the larval zebrafish in vivo at 0.8 Hz, capturing more than 80% of all neurons at single-cell resolution. Demonstrating how this technique can be used to reveal functionally defined circuits across the brain, we identify two populations of neurons with correlated activity patterns. One circuit consists of hindbrain neurons functionally coupled to spinal cord neuropil. The other consists of an anatomically symmetric population in the anterior hindbrain, with activity in the left and right halves oscillating in antiphase, on a timescale of 20 s, and coupled to equally slow oscillations in the inferior olive.

X Demographics

X Demographics

The data shown below were collected from the profiles of 357 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 1,991 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 49 2%
Germany 19 <1%
United Kingdom 13 <1%
Japan 9 <1%
China 8 <1%
Spain 7 <1%
Netherlands 6 <1%
Portugal 6 <1%
France 5 <1%
Other 33 2%
Unknown 1836 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 566 28%
Researcher 410 21%
Student > Master 190 10%
Student > Bachelor 162 8%
Student > Doctoral Student 98 5%
Other 308 15%
Unknown 257 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 589 30%
Neuroscience 331 17%
Physics and Astronomy 190 10%
Engineering 188 9%
Biochemistry, Genetics and Molecular Biology 132 7%
Other 267 13%
Unknown 294 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 661. 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 23 October 2022.
All research outputs
#33,090
of 25,770,491 outputs
Outputs from Nature Methods
#6
of 5,414 outputs
Outputs of similar age
#155
of 223,581 outputs
Outputs of similar age from Nature Methods
#1
of 71 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has done particularly well, scoring higher than 99% 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 223,581 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 99% of its contemporaries.
We're also able to compare this research output to 71 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 98% of its contemporaries.