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Workflow for Visualization of Neuroimaging Data with an Augmented Reality Device

Overview of attention for article published in Journal of Digital Imaging, July 2017
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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 (#2 of 710)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
205 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
Title
Workflow for Visualization of Neuroimaging Data with an Augmented Reality Device
Published in
Journal of Digital Imaging, July 2017
DOI 10.1007/s10278-017-9991-4
Pubmed ID
Authors

Christof Karmonik, Timothy B. Boone, Rose Khavari

Abstract

Commercial availability of three-dimensional (3D) augmented reality (AR) devices has increased interest in using this novel technology for visualizing neuroimaging data. Here, a technical workflow and algorithm for importing 3D surface-based segmentations derived from magnetic resonance imaging data into a head-mounted AR device is presented and illustrated on selected examples: the pial cortical surface of the human brain, fMRI BOLD maps, reconstructed white matter tracts, and a brain network of functional connectivity.

Twitter Demographics

The data shown below were collected from the profiles of 205 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Student > Postgraduate 2 6%
Student > Doctoral Student 2 6%
Other 9 26%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Computer Science 6 18%
Engineering 5 15%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 2 6%
Other 4 12%
Unknown 7 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 127. 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 21 July 2018.
All research outputs
#133,413
of 14,379,258 outputs
Outputs from Journal of Digital Imaging
#2
of 710 outputs
Outputs of similar age
#5,542
of 263,570 outputs
Outputs of similar age from Journal of Digital Imaging
#1
of 18 outputs
Altmetric has tracked 14,379,258 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 710 research outputs from this source. They receive a mean Attention Score of 4.3. 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 263,570 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 97% of its contemporaries.
We're also able to compare this research output to 18 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 94% of its contemporaries.