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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 Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories
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    Chapter 2 Ventral Stream Plays an Important Role in Statistical Graph Comprehension: An fMRI Study
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    Chapter 3 Computational Neuro-Modeling of Visual Memory: Multimodal Imaging and Analysis
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    Chapter 4 When Are Two Visual Cognition Systems Better Than One?
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    Chapter 5 Shift of Brain-State during Recovery from Discomfort Induced by Aversive Pictures
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    Chapter 6 Consciousness Study of Subjects with Unresponsive Wakefulness Syndrome Employing Multimodal Interfaces
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    Chapter 7 Establishing a Baseline Value of Cognitive Skills among School-Aged Children in Upper Egypt Using Computer Based Cognitive Assessment Rehacom Program
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    Chapter 8 Autocovariance Based PCA Method for fMRI Data
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    Chapter 9 Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study
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    Chapter 10 P3 Component Detection Using HHT
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    Chapter 11 A Novel Feature Extractor Based on Wavelet and Kernel PCA for Spike Sorting Neural Signals
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    Chapter 12 Artifacts Reduction Method in EEG Signals with Wavelet Transform and Adaptive Filter
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    Chapter 13 Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records
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    Chapter 14 Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization
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    Chapter 15 Mining Professional Knowledge from Medical Records
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    Chapter 16 Predicting Flu Epidemics Using Twitter and Historical Data
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    Chapter 17 A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits
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    Chapter 18 Text Analysis and Information Extraction from Spanish Written Documents
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    Chapter 19 Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances
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    Chapter 20 A Brain Informatics Research Recommendation System
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    Chapter 21 Hadoop for EEG Storage and Processing: A Feasibility Study
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    Chapter 22 Supervised Learning for the Neurosurgery Intensive Care Unit Using Single-Layer Perceptron Classifiers
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    Chapter 23 Data and Information Granule Rules Retrieval: Differences of Activation in Parietal Cortex
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    Chapter 24 Multiple Inheritance Problem in Semantic Spreading Activation Networks
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    Chapter 25 Ontology-Based Text Classification for Filtering Cholangiocarcinoma Documents from PubMed
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    Chapter 26 An Ontology Based Knowledge Preservation Model for Traditional Unani Medicines
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    Chapter 27 A Computational Study of Robotic Therapy for Stroke Rehabilitation Based on Population Coding
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    Chapter 28 Real Time SVM for Health Monitoring System
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    Chapter 29 Augmenting Cognitive Reserve of Dementia Patients with Brain Aerobics
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    Chapter 30 Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease
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    Chapter 31 The Analysis of Correlation between MOCAP-Based and UPDRS-Based Evaluation of Gait in Parkinson’s Disease Patients
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    Chapter 32 Rough Set Rules Help to Optimize Parameters of Deep Brain Stimulation in Parkinson’s Patients
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    Chapter 33 Morphometric Basis of Depression in Parkinson’s Disease and the Possibility of Its Prediction
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    Chapter 34 An Approach to Detect Negation on Medical Documents in Spanish
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    Chapter 35 Are Some Brain Injury Patients Improving More Than Others?
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    Chapter 36 An Adaptive Expert System for Automated Advices Generation-Based Semi-continuous M-Health Monitoring
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    Chapter 37 Application of Artificial Neural Networks for the Diagnosis of the Condition of the Arterio-venous Fistula on the Basis of Acoustic Signals
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    Chapter 38 On the Statistical Performance of Connectivity Estimators in the Frequency Domain
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    Chapter 39 Causality and Influentiability: The Need for Distinct Neural Connectivity Concepts
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    Chapter 40 Local Dimension-Reduced Dynamical Spatio-Temporal Models for Resting State Network Estimation
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    Chapter 41 A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization
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    Chapter 42 Neurologically Inspired Computational Cognitive Modelling of Situation Awareness
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    Chapter 43 Dealing with the Heterogeneous Multi-site Neuroimaging Data Sets: A Discrimination Study of Children Dyslexia
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    Chapter 44 Brain Informatics and Health
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    Chapter 45 Practice and Task Experience Change the Gradient Organization in the Resting Brain
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    Chapter 46 Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
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    Chapter 47 Characterization of Subgroup Patterns from Graphical Representation of Genomic Data
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    Chapter 48 Moduli Spaces of Phylogenetic Trees Describing Tumor Evolutionary Patterns
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    Chapter 49 Characterizing Scales of Genetic Recombination and Antibiotic Resistance in Pathogenic Bacteria Using Topological Data Analysis
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    Chapter 50 On Graph Extraction from Image Data
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    Chapter 51 On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery
  53. Altmetric Badge
    Chapter 52 Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression
  54. Altmetric Badge
    Chapter 53 Characterizing Web User Visual Gaze Patterns: A Graph Theory Inspired Approach
Attention for Chapter 16: Predicting Flu Epidemics Using Twitter and Historical Data
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

1 news outlet


2 Dimensions

Readers on

16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Predicting Flu Epidemics Using Twitter and Historical Data
Chapter number 16
Book title
Brain Informatics and Health
Published in
Lecture notes in computer science, August 2014
DOI 10.1007/978-3-319-09891-3_16
Book ISBNs
978-3-31-909890-6, 978-3-31-909891-3

Giovanni Stilo, Paola Velardi, Alberto E. Tozzi, Francesco Gesualdo

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Lecturer > Senior Lecturer 2 13%
Student > Master 2 13%
Student > Ph. D. Student 2 13%
Professor 1 6%
Other 4 25%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 6 38%
Medicine and Dentistry 2 13%
Psychology 1 6%
Environmental Science 1 6%
Engineering 1 6%
Other 0 0%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 May 2017.
All research outputs
of 9,821,976 outputs
Outputs from Lecture notes in computer science
of 7,160 outputs
Outputs of similar age
of 263,930 outputs
Outputs of similar age from Lecture notes in computer science
of 113 outputs
Altmetric has tracked 9,821,976 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,160 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 93% 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 263,930 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 83% of its contemporaries.
We're also able to compare this research output to 113 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 93% of its contemporaries.