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Brain Informatics and Health

Overview of attention for book
Cover of 'Brain Informatics and Health'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Robust Neuron Counting Based on Fusion of Shape Map and Multi-cue Learning
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    Chapter 2 Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach
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    Chapter 3 Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding
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    Chapter 4 An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Tree
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    Chapter 5 Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States from Electroencephalography (EEG) Signals
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    Chapter 6 Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method
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    Chapter 7 On Simple Models of Associative Memory: Network Density Is Not Required for Provably Complex Behavior
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    Chapter 8 Human Emotion Variation Analysis Based on EEG Signal and POMS Scale
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    Chapter 9 Visual Information Processing Mechanism Revealed by fMRI Data
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    Chapter 10 Research About Alpha EEG Asymmetry and Self-consciousness in Depression
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    Chapter 11 The Situation Model in Text Reading: Evidence from an Eye Movement Study
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    Chapter 12 Alterations in Emotional and Salience Responses to Positive Stimuli in Major Depressive Disorder
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    Chapter 13 Pattern Classification and Analysis of Memory Processing in Depression Using EEG Signals
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    Chapter 14 A Comprehensive Feature and Data Mining Study on Musician Memory Processing Using EEG Signals
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    Chapter 15 Thought Chart: Tracking Dynamic EEG Brain Connectivity with Unsupervised Manifold Learning
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    Chapter 16 User Interests Analysis and Its Application on the Linked Brain Data Platform
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    Chapter 17 Content-Based fMRI Brain Maps Retrieval
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    Chapter 18 A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics
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    Chapter 19 A Provenance Driven Approach for Systematic EEG Data Analysis
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    Chapter 20 Concept Recognition of Depression Drugs in Biomedical Literatures Using the Domain Relevance Measure
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    Chapter 21 Brain Knowledge Graph Analysis Based on Complex Network Theory
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    Chapter 22 Relation Inference and Type Identification Based on Brain Knowledge Graph
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    Chapter 23 A Simple Distance Based Seizure Onset Detection Algorithm Using Common Spatial Patterns
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    Chapter 24 A Conversational Agent for an Online Mental Health Intervention
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    Chapter 25 Acute Stress Detection Using Recurrence Quantification Analysis of Electroencephalogram (EEG) Signals
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    Chapter 26 Prediction of Seizure Spread Network via Sparse Representations of Overcomplete Dictionaries
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    Chapter 27 A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals
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    Chapter 28 Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation
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    Chapter 29 Cross Subject Mental Work Load Classification from Electroencephalographic Signals with Automatic Artifact Rejection and Muscle Pruning
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    Chapter 30 EEG Topography and Tomography (sLORETA) in Analysis of Abnormal Brain Region for Mild Depression
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    Chapter 31 Evaluation of Depression Severity in Speech
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    Chapter 32 A Noninvasive Real-Time Solution for Driving Fatigue Detection Based on Left Prefrontal EEG and Eye Blink
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    Chapter 33 Detection of SNr Recordings Basing upon Spike Shape Classes and Signal’s Background
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    Chapter 34 Influence of Spatial Learning Perspectives on Navigation Through Virtual Reality Environment
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    Chapter 35 Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway
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    Chapter 36 A Probabilistic Method for Linking BI Provenances to Open Knowledge Base
  38. Altmetric Badge
    Chapter 37 Using Decision Trees to Analyse Brain Signals in Spacial Activities
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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
12 X users

Citations

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1 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Brain Informatics and Health
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-47103-7
ISBNs
978-3-31-947102-0, 978-3-31-947103-7
Editors

Giorgio A. Ascoli, Michael Hawrylycz, Hesham Ali, Deepak Khazanchi, Yong Shi

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 4%
Student > Bachelor 3 3%
Student > Ph. D. Student 3 3%
Professor > Associate Professor 2 2%
Lecturer 2 2%
Other 4 4%
Unknown 75 81%
Readers by discipline Count As %
Engineering 4 4%
Computer Science 4 4%
Neuroscience 3 3%
Social Sciences 2 2%
Psychology 1 1%
Other 5 5%
Unknown 74 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 27 December 2020.
All research outputs
#4,301,852
of 24,417,958 outputs
Outputs from Lecture notes in computer science
#956
of 8,156 outputs
Outputs of similar age
#69,699
of 402,970 outputs
Outputs of similar age from Lecture notes in computer science
#142
of 581 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 88% of its peers.
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 402,970 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 82% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.