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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 Eye Tracking and EEG Features for Salient Web Object Identification
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    Chapter 2 Cognitive Task Classificaiton from Wireless EEG
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    Chapter 3 Identifying the Computational Parameters Gone Awry in Psychosis
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    Chapter 4 Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder
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    Chapter 5 A Cognitive Model for Understanding Chinese Character
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    Chapter 6 Identification of Gender Specific Biomarkers for Alzheimer’s Disease
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    Chapter 7 BRAINtrinsic: A Virtual Reality-Compatible Tool for Exploring Intrinsic Topologies of the Human Brain Connectome
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    Chapter 8 Sleep Stages Classification from Electroencephalographic Signals Based on Unsupervised Feature Space Clustering
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    Chapter 9 Identifying Distinguishing Factors in Predicting Brain Activities – An Inclusive Machine Learning Approach
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    Chapter 10 Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings
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    Chapter 11 Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder
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    Chapter 12 Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations.
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    Chapter 13 Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI
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    Chapter 14 A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction
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    Chapter 15 Towards the Identification of Disease Signatures
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    Chapter 16 The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification
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    Chapter 17 A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances
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    Chapter 18 Measuring Emotion Regulation with Single Dry Electrode Brain Computer Interface
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    Chapter 19 Myndplay: Measuring Attention Regulation with Single Dry Electrode Brain Computer Interface
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    Chapter 20 Optimizing Performance of Non-Expert Users in Brain-Computer Interaction by Means of an Adaptive Performance Engine
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    Chapter 21 Movement Intention Detection from Autocorrelation of EEG for BCI
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    Chapter 22 Time-Varying Parametric Modeling of ECoG for Syllable Decoding
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    Chapter 23 Classification Accuracy Improvement of Chromatic and High–Frequency Code–Modulated Visual Evoked Potential–Based BCI
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    Chapter 24 Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG
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    Chapter 25 A Neural Network Based Model for Predicting Psychological Conditions
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    Chapter 26 Application to Women’s Healthcare of Health Management System Using a Tablet Phone
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    Chapter 27 GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics
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    Chapter 28 B-Spline Registration of Neuroimaging Modalites with Map-Reduce Framework
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    Chapter 29 Brain Informatics and Health
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    Chapter 30 Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data
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    Chapter 31 Unveil the Switching Deficits in Depression by the Dwelling Time in Dominant Community of Resting-State Networks
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    Chapter 32 Visual Object Categorization from Whole to Fine: Evidence from ERP
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    Chapter 33 Joint Decision Making on Two Perception Systems Using Diversity Rank-Score Function Graph
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    Chapter 34 Interactive and Iterative Annotation for Biomedical Entity Recognition
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    Chapter 35 Analysis of Patient Groups and Immunization Results Based on Subspace Clustering
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    Chapter 36 Witnesses for the Doctor in the Loop
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    Chapter 37 Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing
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    Chapter 38 A Domain-Expert Centered Process Model for Knowledge Discovery in Medical Research: Putting the Expert-in-the-Loop
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    Chapter 39 The Research of Depression Based on Power Spectrum
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    Chapter 40 Modelling Uncertainty in Health Care Systems
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    Chapter 41 Brief Discussion on Current Computerized Cognitive Behavioral Therapy
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    Chapter 42 A Middleware for Integrating Cognitive Architectures
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    Chapter 43 Four Ways to Evaluate Arguments According to Agent Engagement
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

1 news outlet
1 blog
23 tweeters
1 Facebook page


3 Dimensions

Readers on

79 Mendeley
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Brain Informatics and Health
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-23344-4
978-3-31-923343-7, 978-3-31-923344-4

Yike Guo, Karl Friston, Aldo Faisal, Sean Hill, Hanchuan Peng

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Greece 1 1%
Germany 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 38%
Student > Master 11 14%
Researcher 9 11%
Student > Doctoral Student 6 8%
Student > Bachelor 5 6%
Other 15 19%
Unknown 3 4%
Readers by discipline Count As %
Computer Science 24 30%
Neuroscience 10 13%
Psychology 8 10%
Engineering 7 9%
Medicine and Dentistry 3 4%
Other 19 24%
Unknown 8 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 January 2017.
All research outputs
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Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
of 1,093 outputs
Altmetric has tracked 14,356,850 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,452 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% 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 340,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,093 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.