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Connectomics in NeuroImaging

Overview of attention for book
Cover of 'Connectomics in NeuroImaging'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Ultra-High Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data
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    Chapter 2 FOD-Based Registration for Susceptibility Distortion Correction in Connectome Imaging
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    Chapter 3 GIFE: Efficient and Robust Group-Wise Isometric Fiber Embedding
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    Chapter 4 Multi-modal Brain Tensor Factorization: Preliminary Results with AD Patients
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    Chapter 5 Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder
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    Chapter 6 Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth
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    Chapter 7 Heritability Estimation of Reliable Connectomic Features
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    Chapter 8 Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains
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    Chapter 9 Riemannian Regression and Classification Models of Brain Networks Applied to Autism
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    Chapter 10 Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields
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    Chapter 11 Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States
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    Chapter 12 Towards Effective Functional Connectome Fingerprinting
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    Chapter 13 Connectivity-Driven Brain Parcellation via Consensus Clustering
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    Chapter 14 GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion
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    Chapter 15 Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder
Attention for Chapter 15: Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder
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Chapter title
Structural Subnetwork Evolution Across the Life-Span: Rich-Club, Feeder, Seeder
Chapter number 15
Book title
Connectomics in NeuroImaging
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-00755-3_15
Book ISBNs
978-3-03-000754-6, 978-3-03-000755-3
Authors

Markus D. Schirmer, Ai Wern Chung

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 September 2018.
All research outputs
#17,990,045
of 23,103,903 outputs
Outputs from arXiv
#444,755
of 949,639 outputs
Outputs of similar age
#242,200
of 337,900 outputs
Outputs of similar age from arXiv
#14,660
of 23,940 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949,639 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 337,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,940 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.