BigBrain: An Ultrahigh-Resolution 3D Human Brain Model

Overview of attention for article published in Science, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
53 news outlets
blogs
18 blogs
twitter
231 tweeters
facebook
26 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
38 Google+ users
reddit
1 Redditor
video
1 video uploader

Readers on

mendeley
244 Mendeley
citeulike
15 CiteULike
Title
BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
Published in
Science, June 2013
DOI 10.1126/science.1235381
Pubmed ID
Authors

K. Amunts, C. Lepage, L. Borgeat, H. Mohlberg, T. Dickscheid, M.-E. Rousseau, S. Bludau, P.-L. Bazin, L. B. Lewis, A.-M. Oros-Peusquens, N. J. Shah, T. Lippert, K. Zilles, A. C. Evans, Katrin Amunts, Claude Lepage, Louis Borgeat, Hartmut Mohlberg, Timo Dickscheid, Marc-Étienne Rousseau, Sebastian Bludau, Pierre-Louis Bazin, Lindsay B. Lewis, Ana-Maria Oros-Peusquens, Nadim J. Shah, Thomas Lippert, Karl Zilles, Alan C. Evans, Amunts K, Lepage C, Borgeat L, Mohlberg H, Dickscheid T, Rousseau MÉ, Bludau S, Bazin PL, Lewis LB, Oros-Peusquens AM, Shah NJ, Lippert T, Zilles K, Evans AC

Abstract

Reference brains are indispensable tools in human brain mapping, enabling integration of multimodal data into an anatomically realistic standard space. Available reference brains, however, are restricted to the macroscopic scale and do not provide information on the functionally important microscopic dimension. We created an ultrahigh-resolution three-dimensional (3D) model of a human brain at nearly cellular resolution of 20 micrometers, based on the reconstruction of 7404 histological sections. "BigBrain" is a free, publicly available tool that provides considerable neuroanatomical insight into the human brain, thereby allowing the extraction of microscopic data for modeling and simulation. BigBrain enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining the traditional neuroanatomy maps such as those of Brodmann and von Economo.

Twitter Demographics

The data shown below were collected from the profiles of 231 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 5%
Germany 9 4%
China 6 2%
United Kingdom 5 2%
France 4 2%
Netherlands 3 1%
Czech Republic 2 <1%
Switzerland 2 <1%
Japan 2 <1%
Other 10 4%
Unknown 189 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 30%
Student > Ph. D. Student 63 26%
Student > Master 21 9%
Professor 19 8%
Professor > Associate Professor 16 7%
Other 53 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 33%
Medicine and Dentistry 38 16%
Neuroscience 35 14%
Psychology 27 11%
Engineering 16 7%
Other 47 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 798. 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 February 2017.
All research outputs
#2,257
of 7,403,681 outputs
Outputs from Science
#119
of 39,059 outputs
Outputs of similar age
#31
of 121,472 outputs
Outputs of similar age from Science
#3
of 728 outputs
Altmetric has tracked 7,403,681 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 39,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.6. 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 121,472 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 728 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 99% of its contemporaries.