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Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury

Overview of attention for article published in Frontiers in Neurology, January 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
2 blogs
twitter
4 X users
facebook
1 Facebook page
wikipedia
14 Wikipedia pages

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Patient-Tailored Connectomics Visualization for the Assessment of White Matter Atrophy in Traumatic Brain Injury
Published in
Frontiers in Neurology, January 2012
DOI 10.3389/fneur.2012.00010
Pubmed ID
Authors

Andrei Irimia, Micah C. Chambers, Carinna M. Torgerson, Maria Filippou, David A. Hovda, Jeffry R. Alger, Guido Gerig, Arthur W. Toga, Paul M. Vespa, Ron Kikinis, John D. Van Horn

Abstract

Available approaches to the investigation of traumatic brain injury (TBI) are frequently hampered, to some extent, by the unsatisfactory abilities of existing methodologies to efficiently define and represent affected structural connectivity and functional mechanisms underlying TBI-related pathology. In this paper, we describe a patient-tailored framework which allows mapping and characterization of TBI-related structural damage to the brain via multimodal neuroimaging and personalized connectomics. Specifically, we introduce a graphically driven approach for the assessment of trauma-related atrophy of white matter connections between cortical structures, with relevance to the quantification of TBI chronic case evolution. This approach allows one to inform the formulation of graphical neurophysiological and neuropsychological TBI profiles based on the particular structural deficits of the affected patient. In addition, it allows one to relate the findings supplied by our workflow to the existing body of research that focuses on the functional roles of the cortical structures being targeted. A graphical means for representing patient TBI status is relevant to the emerging field of personalized medicine and to the investigation of neural atrophy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Germany 2 2%
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 104 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 25%
Student > Ph. D. Student 20 18%
Student > Master 16 14%
Professor 10 9%
Professor > Associate Professor 7 6%
Other 20 18%
Unknown 12 11%
Readers by discipline Count As %
Medicine and Dentistry 24 21%
Neuroscience 17 15%
Psychology 13 12%
Agricultural and Biological Sciences 11 10%
Engineering 11 10%
Other 23 20%
Unknown 14 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 03 March 2023.
All research outputs
#1,655,026
of 25,134,448 outputs
Outputs from Frontiers in Neurology
#608
of 14,221 outputs
Outputs of similar age
#11,392
of 256,121 outputs
Outputs of similar age from Frontiers in Neurology
#10
of 116 outputs
Altmetric has tracked 25,134,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 95% 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 256,121 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 95% of its contemporaries.
We're also able to compare this research output to 116 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 92% of its contemporaries.