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Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living

Overview of attention for book
Cover of 'Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Can Technology Improve Medication Adherence in Older People with Dementia?
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    Chapter 2 Human Centered Design Conception Applied to the Internet of Things: Contribution and Interest
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    Chapter 3 Designing a Product Service Platform for Older People: From Needs to Requirements
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    Chapter 4 Ativo: A Data Inspired Design Used to Manage Energy Expenditure for Heart Failure Patients
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    Chapter 5 Technological Approach for Early and Unobtrusive Detection of Possible Health Changes Toward More Effective Treatment
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    Chapter 6 Automatic Identification of Behavior Patterns in Mild Cognitive Impairments and Alzheimer’s Disease Based on Activities of Daily Living
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    Chapter 7 Activity Recognition by Classification Method for Weight Variation Measurement with an Insole Device for Monitoring Frail People
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    Chapter 8 Categorization of the Context Within the Medical Domain
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    Chapter 9 A Hybrid Framework for a Comprehensive Physical Activity and Diet Recommendation System
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    Chapter 10 A Personalized Health Recommendation System Based on Smartphone Calendar Events
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    Chapter 11 Testing a Model of Adoption and Continued Use of Personally Controlled Electronic Health Record (PCEHR) System Among Australian Consumers: A Preliminary Study
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    Chapter 12 Creating Smarter Spaces to Unleash the Potential of Health Apps
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    Chapter 13 A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements
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    Chapter 14 Telemedicine Collaboration in Cancer Treatment: A Case Study at Brazilian National Cancer Institute
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    Chapter 15 Evaluating Iris Scanning Technology to Link Data Related to Homelessness and Other Disadvantaged Populations with Mental Illness and Addiction
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    Chapter 16 Missing Information Prediction in Ripple Down Rule Based Clinical Decision Support System
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    Chapter 17 Study of Annotations in e-health Domain
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    Chapter 18 Users’ Perceptions and Attitudes Towards Smart Home Technologies
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    Chapter 19 USHEr: User Separation in Home Environment
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    Chapter 20 An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint
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    Chapter 21 Specifying an MQTT Tree for a Connected Smart Home
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    Chapter 22 Deep Learning Model for Detection of Pain Intensity from Facial Expression
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    Chapter 23 Study of Critical Vital Signs Using Deep Learning
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    Chapter 24 Generation of Pure Trajectories for Continuous Movements in the Rehabilitation of Lower Member Using Exoskeletons
  26. Altmetric Badge
    Chapter 25 Integration of Complex IoT Data with Case-Specific Interactive Expert Knowledge Feedback, for Elderly Frailty Prevention
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    Chapter 26 The Affective Respiration Device
  28. Altmetric Badge
    Chapter 27 Exploring Individuals’ Perceptions on Personally Controlled Electronic Health Record System
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    Chapter 28 Understanding Individual Users’ Perspectives on the Personally Controlled Electronic Health Record (PCEHR) System: Results of Field Study
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    Chapter 29 Context-Based Lifelog Monitoring for Just-in-Time Wellness Intervention
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    Chapter 30 Assessment of a Smart Kitchen to Help People with Alzheimer’s Disease
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    Chapter 31 Detection of Untrustworthy IoT Measurements Using Expert Knowledge of Their Joint Distribution
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    Chapter 32 System for User Context Determination in a Network of IoT Devices
Attention for Chapter 12: Creating Smarter Spaces to Unleash the Potential of Health Apps
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
31 Mendeley
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Chapter title
Creating Smarter Spaces to Unleash the Potential of Health Apps
Chapter number 12
Book title
Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living
Published in
Lecture notes in computer science, June 2018
DOI 10.1007/978-3-319-94523-1_12
Book ISBNs
978-3-31-994522-4, 978-3-31-994523-1
Authors

Jean-Marie Bonnin, Valérie Gay, Frédéric Weis, Bonnin, JM, Gay, V, Weis, F, Bonnin, Jean-Marie, Gay, Valérie, Weis, Frédéric

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 > Doctoral Student 15 48%
Student > Ph. D. Student 6 19%
Student > Bachelor 1 3%
Lecturer 1 3%
Professor 1 3%
Other 1 3%
Unknown 6 19%
Readers by discipline Count As %
Computer Science 18 58%
Social Sciences 2 6%
Engineering 2 6%
Medicine and Dentistry 1 3%
Unknown 8 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 December 2018.
All research outputs
#4,243,742
of 23,100,534 outputs
Outputs from Lecture notes in computer science
#994
of 8,148 outputs
Outputs of similar age
#82,376
of 328,025 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 14 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,148 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 328,025 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 73% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.