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Computational Radiology for Orthopaedic Interventions

Overview of attention for book
Computational Radiology for Orthopaedic Interventions
Springer International Publishing

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Statistical Shape Modeling of Musculoskeletal Structures and Its Applications
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    Chapter 2 Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets
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    Chapter 3 Registration for Orthopaedic Interventions
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    Chapter 4 3D Augmented Reality Based Orthopaedic Interventions
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    Chapter 5 Fully Automatic Segmentation of Hip CT Images
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    Chapter 6 Quantification of Implant Osseointegration by Means of a Reconstruction Algorithm on Micro-computed Tomography Images
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    Chapter 7 Surgical Treatment of Long-Bone Deformities: 3D Preoperative Planning and Patient-Specific Instrumentation
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    Chapter 8 Preoperative Planning of Periacetabular Osteotomy (PAO)
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    Chapter 9 Computer Assisted Diagnosis and Treatment Planning of Femoroacetabular Impingement (FAI)
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    Chapter 10 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty
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    Chapter 11 Image Fusion for Computer-Assisted Bone Tumor Surgery
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    Chapter 12 Intraoperative Three-Dimensional Imaging in Fracture Treatment with a Mobile C-Arm
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    Chapter 13 Augmented Reality in Orthopaedic Interventions and Education
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    Chapter 14 State of the Art of Ultrasound-Based Registration in Computer Assisted Orthopedic Interventions
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    Chapter 15 Medical Robotics for Musculoskeletal Surgery
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    Chapter 16 A Cost-Effective Surgical Navigation Solution for Periacetabular Osteotomy (PAO) Surgery
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    Chapter 17 Computer Assisted Hip Resurfacing Using Patient-Specific Instrument Guides
Overall attention for this book and its chapters
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37 Mendeley
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Title
Computational Radiology for Orthopaedic Interventions
Published by
Lecture Notes in Computational Vision and Biomechanics, January 2016
DOI 10.1007/978-3-319-23482-3
ISBNs
978-3-31-923481-6, 978-3-31-923482-3
Editors

Guoyan Zheng, Shuo Li

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 30%
Researcher 8 22%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 3 8%
Other 7 19%
Readers by discipline Count As %
Engineering 15 41%
Computer Science 9 24%
Medicine and Dentistry 6 16%
Social Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 5%
Unknown 2 5%
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 23 October 2015.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Lecture Notes in Computational Vision and Biomechanics
#1
of 1 outputs
Outputs of similar age
#298,161
of 402,374 outputs
Outputs of similar age from Lecture Notes in Computational Vision and Biomechanics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. 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 402,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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