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3D Reconstruction and Standardization of the Rat Vibrissal Cortex for Precise Registration of Single Neuron Morphology

Overview of attention for article published in PLoS Computational Biology, December 2012
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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1 blog
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1 X user

Citations

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47 Dimensions

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120 Mendeley
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1 CiteULike
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Title
3D Reconstruction and Standardization of the Rat Vibrissal Cortex for Precise Registration of Single Neuron Morphology
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002837
Pubmed ID
Authors

Robert Egger, Rajeevan T. Narayanan, Moritz Helmstaedter, Christiaan P. J. de Kock, Marcel Oberlaender

Abstract

The three-dimensional (3D) structure of neural circuits is commonly studied by reconstructing individual or small groups of neurons in separate preparations. Investigation of structural organization principles or quantification of dendritic and axonal innervation thus requires integration of many reconstructed morphologies into a common reference frame. Here we present a standardized 3D model of the rat vibrissal cortex and introduce an automated registration tool that allows for precise placement of single neuron reconstructions. We (1) developed an automated image processing pipeline to reconstruct 3D anatomical landmarks, i.e., the barrels in Layer 4, the pia and white matter surfaces and the blood vessel pattern from high-resolution images, (2) quantified these landmarks in 12 different rats, (3) generated an average 3D model of the vibrissal cortex and (4) used rigid transformations and stepwise linear scaling to register 94 neuron morphologies, reconstructed from in vivo stainings, to the standardized cortex model. We find that anatomical landmarks vary substantially across the vibrissal cortex within an individual rat. In contrast, the 3D layout of the entire vibrissal cortex remains remarkably preserved across animals. This allows for precise registration of individual neuron reconstructions with approximately 30 µm accuracy. Our approach could be used to reconstruct and standardize other anatomically defined brain areas and may ultimately lead to a precise digital reference atlas of the rat brain.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 4%
United States 3 3%
United Kingdom 3 3%
Austria 1 <1%
Switzerland 1 <1%
Hong Kong 1 <1%
Australia 1 <1%
Unknown 105 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 30%
Student > Ph. D. Student 35 29%
Student > Master 10 8%
Professor 9 8%
Student > Bachelor 6 5%
Other 13 11%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 36%
Neuroscience 37 31%
Engineering 8 7%
Computer Science 4 3%
Physics and Astronomy 4 3%
Other 9 8%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 April 2013.
All research outputs
#4,660,035
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#3,729
of 8,960 outputs
Outputs of similar age
#45,301
of 288,430 outputs
Outputs of similar age from PLoS Computational Biology
#38
of 122 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 58% 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 288,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.