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Computational Neurology and Psychiatry

Overview of attention for book
Cover of 'Computational Neurology and Psychiatry'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Outgrowing Neurological Diseases: Microcircuits, Conduction Delay and Childhood Absence Epilepsy
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    Chapter 3 Extracellular Potassium and Focal Seizures—Insight from In Silico Study
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    Chapter 4 Time Series and Interactions: Data Processing in Epilepsy Research
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    Chapter 5 Connecting Epilepsy and Alzheimer’s Disease: Modeling of Normal and Pathological Rhythmicity and Synaptic Plasticity Related to Amyloid $$\beta $$ (A $$\beta $$ ) Effects
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    Chapter 6 Dynamic Causal Modelling of Dynamic Dysfunction in NMDA-Receptor Antibody Encephalitis
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    Chapter 7 Oscillatory Neural Models of the Basal Ganglia for Action Selection in Healthy and Parkinsonian Cases
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    Chapter 8 Mathematical Models of Neuromodulation and Implications for Neurology and Psychiatry
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    Chapter 9 Attachment Modelling: From Observations to Scenarios to Designs
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    Chapter 10 Self-attachment: A Holistic Approach to Computational Psychiatry
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    Chapter 11 A Comparison of Mathematical Models of Mood in Bipolar Disorder
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    Chapter 12 Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits
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    Chapter 13 A Computational Model of Neural Synchronization in Striatum
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    Chapter 14 A Neural Mass Computational Framework to Study Synaptic Mechanisms Underlying Alpha and Theta Rhythms
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    Chapter 15 The Role of Simulations in Neuropharmacology
Attention for Chapter 6: Dynamic Causal Modelling of Dynamic Dysfunction in NMDA-Receptor Antibody Encephalitis
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Chapter title
Dynamic Causal Modelling of Dynamic Dysfunction in NMDA-Receptor Antibody Encephalitis
Chapter number 6
Book title
Computational Neurology and Psychiatry
Published in
Springer Series in Bio-/Neuroinformatics, February 2017
DOI 10.1007/978-3-319-49959-8_6
Book ISBNs
978-3-31-949958-1, 978-3-31-949959-8
Authors

Richard E. Rosch, Gerald Cooray, Karl J. Friston, Rosch, ER, Cooray, G, Friston, KJ

Editors

Péter Érdi, Basabdatta Sen Bhattacharya, Amy L. Cochran

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Professor > Associate Professor 1 20%
Researcher 1 20%
Student > Bachelor 1 20%
Readers by discipline Count As %
Neuroscience 3 60%
Medicine and Dentistry 2 40%
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 25 February 2019.
All research outputs
#15,309,533
of 25,992,468 outputs
Outputs from Springer Series in Bio-/Neuroinformatics
#1
of 1 outputs
Outputs of similar age
#224,739
of 428,638 outputs
Outputs of similar age from Springer Series in Bio-/Neuroinformatics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 2.2. 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 428,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% 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