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Computational Diffusion MRI

Overview of attention for book
Computational Diffusion MRI
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards Optimal Sampling in Diffusion MRI
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    Chapter 2 Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-shot Echo Planar Imaging
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    Chapter 3 Return-to-Axis Probability Calculation from Single-Shell Acquisitions
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    Chapter 4 A Novel Spatial-Angular Domain Regularisation Approach for Restoration of Diffusion MRI
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    Chapter 5 Dmipy, A Diffusion Microstructure Imaging Toolbox in Python to Improve Research Reproducibility
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    Chapter 6 Tissue Segmentation Using Sparse Non-negative Matrix Factorization of Spherical Mean Diffusion MRI Data
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    Chapter 7 A Closed-Form Solution of Rotation Invariant Spherical Harmonic Features in Diffusion MRI
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    Chapter 8 Orientation-Dispersed Apparent Axon Diameter via Multi-Stage Spherical Mean Optimization
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    Chapter 9 Current Applications and Future Promises of Machine Learning in Diffusion MRI
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    Chapter 13 Challenges and Opportunities in dMRI Data Harmonization
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    Chapter 17 Effects of Diffusion MRI Model and Harmonization on the Consistency of Findings in an International Multi-cohort HIV Neuroimaging Study
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    Chapter 18 Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results
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    Chapter 20 A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta
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    Chapter 21 Spatial Characterisation of Fibre Response Functions for Spherical Deconvolution in Multiple Sclerosis
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    Chapter 22 Edge and Properties in Multiple
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    Chapter 24 Brain Connectivity Measures via Direct Sub-Finslerian Front Propagation on the 5D Sphere Bundle of Positions and Directions
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    Chapter 27 Voxel-Wise Clustering of Tractography Data for Building Atlases of Local Fiber Geometry
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    Chapter 28 Obtaining Representative Core Streamlines for White Matter Tractometry of the Human Brain
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    Chapter 29 Improving Graph-Based Tractography Plausibility Using Microstructure Information
Overall attention for this book and its chapters
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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 (88th percentile)

Mentioned by

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21 X users

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10 Mendeley
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Title
Computational Diffusion MRI
Published by
Mathematics and Visualization, January 2019
DOI 10.1007/978-3-030-05831-9
ISBNs
978-3-03-005830-2, 978-3-03-005831-9
Authors

Ravi, D, Ghavami, N, Alexander, DC, Ianus, A

Editors

Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax

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X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Student > Doctoral Student 2 20%
Student > Bachelor 1 10%
Unknown 1 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 10%
Nursing and Health Professions 1 10%
Computer Science 1 10%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 23 January 2023.
All research outputs
#2,352,092
of 25,992,468 outputs
Outputs from Mathematics and Visualization
#1
of 1 outputs
Outputs of similar age
#52,128
of 450,184 outputs
Outputs of similar age from Mathematics and Visualization
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one scored the same or higher as 0 of them.
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 450,184 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them