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Progress Towards Mammalian Whole-Brain Cellular Connectomics

Overview of attention for article published in Frontiers in Neuroanatomy, June 2016
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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21 X users
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2 Wikipedia pages

Citations

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35 Dimensions

Readers on

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58 Mendeley
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Title
Progress Towards Mammalian Whole-Brain Cellular Connectomics
Published in
Frontiers in Neuroanatomy, June 2016
DOI 10.3389/fnana.2016.00062
Pubmed ID
Authors

Shawn Mikula

Abstract

Neurons are the fundamental structural units of the nervous system-i.e., the Neuron Doctrine-as the pioneering work of Santiago Ramón y Cajal in the 1880's clearly demonstrated through careful observation of Golgi-stained neuronal morphologies. However, at that time sample preparation, imaging methods and computational tools were either nonexistent or insufficiently developed to permit the precise mapping of an entire brain with all of its neurons and their connections. Some measure of the "mesoscopic" connectional organization of the mammalian brain has been obtained over the past decade by alignment of sparse subsets of labeled neurons onto a reference atlas or via MRI-based diffusion tensor imaging. Neither method, however, provides data on the complete connectivity of all neurons comprising an individual brain. Fortunately, whole-brain cellular connectomics now appears within reach due to recent advances in whole-brain sample preparation and high-throughput electron microscopy (EM), though substantial obstacles remain with respect to large volume electron microscopic acquisitions and automated neurite reconstructions. This perspective examines the current status and problems associated with generating a mammalian whole-brain cellular connectome and argues that the time is right to launch a concerted connectomic attack on a small mammalian whole-brain.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United States 1 2%
Germany 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 8 14%
Student > Master 6 10%
Student > Bachelor 4 7%
Professor 3 5%
Other 10 17%
Unknown 12 21%
Readers by discipline Count As %
Neuroscience 18 31%
Agricultural and Biological Sciences 9 16%
Physics and Astronomy 5 9%
Computer Science 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 7 12%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 05 February 2021.
All research outputs
#2,224,656
of 23,957,596 outputs
Outputs from Frontiers in Neuroanatomy
#114
of 1,208 outputs
Outputs of similar age
#40,591
of 356,360 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#4
of 28 outputs
Altmetric has tracked 23,957,596 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 90% 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 356,360 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 88% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.