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Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety

Overview of attention for book
Cover of 'Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety'

Table of Contents

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    Book Overview
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    Chapter 1 Mobile-Application Based Cognitive Behavior Therapy (CBT) for Identifying and Managing Depression and Anxiety
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    Chapter 2 The Structure of Clinical Judgment Making Based on Nurse’s Visual Observation
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    Chapter 3 Towards a Clinical Support System for the Early Diagnosis of Sepsis
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    Chapter 4 APSEN: Pre-screening Tool for Sleep Apnea in a Home Environment
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    Chapter 5 Tacit Process for Obtaining Nursing Skills
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    Chapter 6 Conversion of JPG Image into DICOM Image Format with One Click Tagging
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    Chapter 7 Eye Movement Differences Between Novices and Expert Surgeons in Laparoscopic Surgery Simulator
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    Chapter 8 Evaluation Methods to Support Health Information Systems Development: A Framework Supported in Literature and Practical Experience
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    Chapter 9 Software Requirements Engineering in Digital Healthcare: A Case Study of the Diagnosis and Monitoring of Autism Spectrum Disorders in Children in the UK’s National Health Service
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    Chapter 10 Compare the Receiver Operating Characteristic (ROC) and Linear Discriminant Analysis (LDA) for Acromegaly Detection by Three-Dimensional Facial Measurements
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    Chapter 11 Evaluation of Functionality and Usability on Diabetes Mobile Applications: A Systematic Literature Review
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    Chapter 12 Abductive Cognitive Support for (Semantic) Dementia Persons
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    Chapter 13 Age and Computer Skill Level Difference in Aging-Centered Design: A Case Study of a Social Type Website
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    Chapter 14 Application and Effect of Media Therapy to the Recreational Activities at Group Homes Reduction of Spiritual Pain of Elderly People with Dementia
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    Chapter 15 Investigation of Quantification of the Suitable Photos for Conversation Assistance for Elderly and Youth
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    Chapter 16 Generating Personalized Dialogue Towards Daily Counseling System for Home Dementia Care
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    Chapter 17 Color Affects the Usability of Smart Phone Icon for the Elderly
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    Chapter 18 Capturing Activities of Daily Living for Elderly at Home Based on Environment Change and Speech Dialog
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    Chapter 19 F0 Feature Analysis of Communication Between Elderly Individuals for Health Assessment
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    Chapter 20 A Study of Photographs as Communication Content for Intergenerational Conversation Support System
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    Chapter 21 Measuring Insight into Multi-dimensional Data from a Combination of a Scatterplot Matrix and a HyperSlice Visualization
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    Chapter 22 Effective Visualization of Long Term Health Data to Support Behavior Change
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    Chapter 23 That’s so Meta! Usability of a Hypergraph-Based Discussion Model
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    Chapter 24 FlowChart Tool for Decision Making in Interdisciplinary Research Cooperation
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    Chapter 25 Using EEG Data Analytics to Measure Meditation
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    Chapter 26 Enhance the Use of Medical Wearables Through Meaningful Data Analytics
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    Chapter 27 User-Driven Semantic Classification for the Analysis of Abstract Health and Visualization Tasks
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    Chapter 28 EEG Features Extraction and Classification of Rifle Shooters in the Aiming Period
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    Chapter 29 Safety Does Not Happen by Accident, Can Gaming Help Improve Occupational Health and Safety in Organizations?
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    Chapter 30 Autonomous Robotic System for Pipeline Integrity Inspection
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    Chapter 31 Interactive Design of Digital Car Dashboard Interfaces
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    Chapter 32 Emergency Usability Lab - Concept to Evaluate the Usability of Healthcare Systems in Emergencies
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    Chapter 33 Watch Out!
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    Chapter 34 Safety Performance Evaluation Model for Airline Flying Fleets
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    Chapter 35 Deciphering Workers’ Safety Attitudes by Sensing Gait Patterns
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    Chapter 36 Driving Process’ Analysis and HUD Design Based on Conditional Autonomous Traffic Safety
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    Chapter 37 ECG Identification Based on PCA-RPROP
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

2 tweeters

Readers on

36 Mendeley
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Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-58466-9
978-3-31-958465-2, 978-3-31-958466-9

Vincent G. Duffy

Twitter Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Student > Bachelor 4 11%
Researcher 2 6%
Other 1 3%
Other 1 3%
Unknown 17 47%
Readers by discipline Count As %
Engineering 9 25%
Computer Science 5 14%
Social Sciences 3 8%
Neuroscience 1 3%
Psychology 1 3%
Other 0 0%
Unknown 17 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 February 2020.
All research outputs
of 15,575,313 outputs
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 28 outputs
Altmetric has tracked 15,575,313 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,583 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 279,683 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.