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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 (#7 of 5,389)
  • 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
356 X users
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17 patents
facebook
18 Facebook pages
wikipedia
1 Wikipedia page
googleplus
236 Google+ users
reddit
1 Redditor
video
6 YouTube creators

Citations

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1165 Dimensions

Readers on

mendeley
1987 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 356 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 1,987 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 1832 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 565 28%
Researcher 410 21%
Student > Master 190 10%
Student > Bachelor 161 8%
Student > Doctoral Student 96 5%
Other 308 16%
Unknown 257 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 589 30%
Neuroscience 330 17%
Engineering 188 9%
Physics and Astronomy 188 9%
Biochemistry, Genetics and Molecular Biology 132 7%
Other 266 13%
Unknown 294 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 660. 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
#32,821
of 25,593,129 outputs
Outputs from Nature Methods
#7
of 5,389 outputs
Outputs of similar age
#157
of 223,044 outputs
Outputs of similar age from Nature Methods
#2
of 71 outputs
Altmetric has tracked 25,593,129 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 5,389 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 223,044 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.