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Stereoscopic three-dimensional visualization applied to multimodal brain images: clinical applications and a functional connectivity atlas

Overview of attention for article published in Frontiers in Neuroscience, November 2014
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
7 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Stereoscopic three-dimensional visualization applied to multimodal brain images: clinical applications and a functional connectivity atlas
Published in
Frontiers in Neuroscience, November 2014
DOI 10.3389/fnins.2014.00328
Pubmed ID
Authors

Gonzalo M. Rojas, Marcelo Gálvez, Natan Vega Potler, R. Cameron Craddock, Daniel S. Margulies, F. Xavier Castellanos, Michael P. Milham

Abstract

Effective visualization is central to the exploration and comprehension of brain imaging data. While MRI data are acquired in three-dimensional space, the methods for visualizing such data have rarely taken advantage of three-dimensional stereoscopic technologies. We present here results of stereoscopic visualization of clinical data, as well as an atlas of whole-brain functional connectivity. In comparison with traditional 3D rendering techniques, we demonstrate the utility of stereoscopic visualizations to provide an intuitive description of the exact location and the relative sizes of various brain landmarks, structures and lesions. In the case of resting state fMRI, stereoscopic 3D visualization facilitated comprehension of the anatomical position of complex large-scale functional connectivity patterns. Overall, stereoscopic visualization improves the intuitive visual comprehension of image contents, and brings increased dimensionality to visualization of traditional MRI data, as well as patterns of functional connectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
United Kingdom 1 1%
Canada 1 1%
Japan 1 1%
United States 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 8 12%
Student > Bachelor 8 12%
Student > Master 7 10%
Student > Doctoral Student 5 7%
Other 13 19%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Neuroscience 6 9%
Computer Science 6 9%
Agricultural and Biological Sciences 5 7%
Psychology 4 6%
Other 11 16%
Unknown 24 36%
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 06 August 2015.
All research outputs
#4,788,399
of 25,373,627 outputs
Outputs from Frontiers in Neuroscience
#3,646
of 11,538 outputs
Outputs of similar age
#52,312
of 276,320 outputs
Outputs of similar age from Frontiers in Neuroscience
#33
of 115 outputs
Altmetric has tracked 25,373,627 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 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 68% 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 276,320 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 81% of its contemporaries.
We're also able to compare this research output to 115 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 71% of its contemporaries.