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Smart Health

Overview of attention for book
Cover of 'Smart Health'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Smart Health
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    Chapter 2 Real-Time Models to Predict the Use of Vasopressors in Monitored Patients
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    Chapter 3 An Approach to Automate Health Monitoring in Compliance with Personal Privacy
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    Chapter 4 Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders
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    Chapter 5 Network Analysis of Ecological Momentary Assessment Data for Monitoring and Understanding Eating Behavior
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    Chapter 6 Chronic Disease Related Entity Extraction in Online Chinese Question and Answer Services
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    Chapter 7 Smart Health
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    Chapter 8 Clustering Analysis on Patient-Physician Communication and Shared Decision-Making During Cancer Prognosis Discussion
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    Chapter 9 Need for a Specialized Metamodel for Biomedical and Health Informatics Domain
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    Chapter 10 Predicting Pre-triage Waiting Time in a Maternity Emergency Room Through Data Mining
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    Chapter 11 A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm
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    Chapter 12 Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media
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    Chapter 13 Arrhythmia Classification Using Biosignal Analysis and Machine Learning Techniques
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    Chapter 14 Skin Resistance as a Physiological Indicator for Quadriplegics with Spinal Cord Injuries During Activities of Daily Living
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    Chapter 15 Monitoring and Estimating Medication Abuse
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    Chapter 16 Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data
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    Chapter 17 Time and Economic Burden of Comorbidities Among COPD Inpatients
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    Chapter 18 How Price Affect Online Purchase Behavior in Online Healthcare Consulting? Perceived Quality as a Mediator
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    Chapter 19 Stress Quantification Using a Wearable Device for Daily Feedback to Improve Stress Management
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    Chapter 20 Relationship Between Multiple Joint Movements Using Fitts Law
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    Chapter 21 Electronic Health Records and Patient Activation – Their Interactive Role in Medication Adherence
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    Chapter 22 Chronic Knowledge Retrieval and Smart Health Services Based on Big Data
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    Chapter 23 When a Teen’s Stress Level Comes to the Top/Bottom: A Fuzzy Candlestick Line Based Approach on Micro-Blog
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    Chapter 24 Linking Obesity and Tweets
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    Chapter 25 Social Dynamics of the Online Health Communities for Mental Health
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    Chapter 26 Impact of Flavor on Electronic Cigarette Marketing in Social Media
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    Chapter 27 Health-Related Spammer Detection on Chinese Social Media
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    Chapter 28 DiabeticLink: An Internationally Collaborative Cyber-Enabled Patient Empowerment Platform
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    Chapter 29 MedC: A Literature Analysis System for Chinese Medicine Research
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    Chapter 30 Design of a Mobile Application to Support Non-pharmacological Therapies for People with Alzheimer Disease
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    Chapter 31 A Speech-Based Mobile App for Restaurant Order Recognition and Low-Burden Diet Tracking
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    Chapter 32 DRSTI: A Workbench for Querying Retinal Image Data of Age-Related Macular Degeneration Patients
Attention for Chapter 1: Smart Health
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
31 Mendeley
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Chapter title
Smart Health
Chapter number 1
Book title
Smart Health
Published in
Lecture notes in computer science, November 2015
DOI 10.1007/978-3-319-29175-8_1
Book ISBNs
978-3-31-929174-1, 978-3-31-929175-8
Authors

Joshua Chuang, Lubaina Maimoon, Shuo Yu, Hongyi Zhu, Casper Nybroe, Owen Hsiao, Shu-Hsing Li, Hsinmin Lu, Hsinchun Chen, Chuang, Joshua, Maimoon, Lubaina, Yu, Shuo, Zhu, Hongyi, Nybroe, Casper, Hsiao, Owen, Li, Shu-Hsing, Lu, Hsinmin, Chen, Hsinchun

Editors

Xiaolong Zheng, Daniel Dajun Zeng, Hsinchun Chen, Scott J. Leischow

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Researcher 4 13%
Other 2 6%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 5 16%
Unknown 11 35%
Readers by discipline Count As %
Computer Science 8 26%
Business, Management and Accounting 3 10%
Arts and Humanities 2 6%
Nursing and Health Professions 2 6%
Engineering 2 6%
Other 2 6%
Unknown 12 39%
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 06 February 2019.
All research outputs
#7,486,067
of 22,880,691 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,129 outputs
Outputs of similar age
#119,363
of 386,592 outputs
Outputs of similar age from Lecture notes in computer science
#270
of 499 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 386,592 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.