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A DTI-Based Template-Free Cortical Connectome Study of Brain Maturation

Overview of attention for article published in PLOS ONE, May 2013
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3 X users
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3 Facebook pages

Citations

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72 Dimensions

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138 Mendeley
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Title
A DTI-Based Template-Free Cortical Connectome Study of Brain Maturation
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0063310
Pubmed ID
Authors

Olga Tymofiyeva, Christopher P. Hess, Etay Ziv, Patricia N. Lee, Hannah C. Glass, Donna M. Ferriero, A. James Barkovich, Duan Xu

Abstract

Improved understanding of how the human brain is "wired" on a macroscale may now be possible due to the emerging field of MRI connectomics. However, mapping the rapidly developing infant brain networks poses challenges. In this study, we applied an automated template-free "baby connectome" framework using diffusion MRI to non-invasively map the structural brain networks in subjects of different ages, including premature neonates, term-born neonates, six-month-old infants, and adults. We observed increasing brain network integration and decreasing segregation with age in term-born subjects. We also explored how the equal area nodes can be grouped into modules without any prior anatomical information--an important step toward a fully network-driven registration and analysis of brain connectivity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
Switzerland 1 <1%
Israel 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 131 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 26%
Researcher 30 22%
Student > Master 15 11%
Student > Doctoral Student 8 6%
Student > Bachelor 6 4%
Other 17 12%
Unknown 26 19%
Readers by discipline Count As %
Neuroscience 21 15%
Psychology 18 13%
Medicine and Dentistry 16 12%
Engineering 15 11%
Agricultural and Biological Sciences 13 9%
Other 20 14%
Unknown 35 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 February 2014.
All research outputs
#13,152,593
of 22,710,079 outputs
Outputs from PLOS ONE
#103,813
of 193,906 outputs
Outputs of similar age
#99,874
of 193,257 outputs
Outputs of similar age from PLOS ONE
#2,487
of 4,946 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,906 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 193,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,946 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.