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Electronic Healthcare

Overview of attention for book
Electronic Healthcare
Springer Berlin Heidelberg

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Authoring Framework for Security Policies: A Use-Case within the Healthcare Domain
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    Chapter 2 Detecting Public Health Indicators from the Web for Epidemic Intelligence
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    Chapter 3 #Swineflu: Twitter Predicts Swine Flu Outbreak in 2009
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    Chapter 4 Identifying Breast Cancer Concepts in SNOMED-CT Using Large Text Corpus
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    Chapter 5 Towards Knowledge Oriented Personal Health Systems
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    Chapter 6 Evaluation of Popularity of Multi-lingual Educational Web Games – Do All Children Speak English?
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    Chapter 7 Integrating Consumer-Oriented Vocabularies with Selected Professional Ones from the UMLS Using Semantic Web Technologies
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    Chapter 8 Evaluation of a Semantic Web Application for Collaborative Knowledge Building in the Dementia Domain
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    Chapter 9 Impacts of a Web-Based System on a Distributed Clinical Community of Practice
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    Chapter 10 Modeling Healthcare Processes in BPEL: A Colon Cancer Screening Case Study
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    Chapter 11 Improvements in Data Quality for Decision Support in Intensive Care
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    Chapter 12 Predicting Sepsis: A Comparison of Analytical Approaches
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    Chapter 13 Promoting e-Health Resources: Lessons Learned
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    Chapter 14 Between Innovation and Daily Practice in the Development of AAL Systems: Learning from the Experience with Today’s Systems
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    Chapter 15 The FEM Wiki Project: A Conversion of a Training Resource for Field Epidemiologists into a Collaborative Web 2.0 Portal
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    Chapter 16 Logica’s eCareLogic: A Service Oriented Architecture for Connected Health
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    Chapter 17 Collaborative Encoding of Asbru Clinical Protocols
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    Chapter 18 eHealth Living Lab Micro Innovation Strategy: A Case Study of Prototypes through Co-creation
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    Chapter 19 Personal Health Records among Institutions, Medical Records, and Patient Wisdom: A Socio-technical Approach
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    Chapter 20 Economic Viability of eCare Solutions
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    Chapter 21 Gender-Specific Kansei Engineering: Using AttrakDiff2
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    Chapter 22 Accounting for User Diversity in the Acceptance of Medical Assistive Technologies
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    Chapter 23 Experimental Evaluation of IEEE 802.15.4/ZigBee for Multi-patient ECG Monitoring
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    Chapter 24 Wearable Sensor Networks for Measuring Face-to-Face Contact Patterns in Healthcare Settings
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    Chapter 25 A Note on the Security in the Card Management System of the German E-Health Card
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    Chapter 26 Towards a Framework for Privacy Preserving Medical Data Mining Based on Standard Medical Classifications
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    Chapter 27 On the Usage of SAML Delegate Assertions in an Healthcare Scenario with Federated Communities
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    Chapter 28 An Event-Based, Role-Based Authorization Model for Healthcare Workflow Systems
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    Chapter 29 Hostpial Engineering
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    Chapter 30 A Model for Interaction Design of Personalised Knowledge Systems in the Health Domain
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    Chapter 31 Conceptual Design of a Personalised Tool for Remote Preanaesthesia Evaluation: A User-Centred Approach
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    Chapter 32 Privacy in Commercial Medical Storage Systems
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    Chapter 33 A Portal to Promote Healthy Living within Families
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    Chapter 34 e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders
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    Chapter 35 The MOSAIC System
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    Chapter 36 Agent-Based Careflow for Patient-Centred Palliative Care
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    Chapter 37 To Share or Not to Share SHARE-it : Lessons Learnt
  39. Altmetric Badge
    Chapter 38 iTutorials for the Aid of Cognitively Impaired Elderly Population
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    Chapter 39 An Agent Framework for the Analysis of Streaming Physiological Data
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    Chapter 40 ALIVE Meets SHARE-it: An Agent-Oriented Solution to Model Organisational and Normative Requirements in Assistive Technologies
  42. Altmetric Badge
    Chapter 41 Support-Based Distributed Optimisation: An Approach to Radiotherapy Scheduling
Attention for Chapter 3: #Swineflu: Twitter Predicts Swine Flu Outbreak in 2009
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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 (79th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
79 Mendeley
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Chapter title
#Swineflu: Twitter Predicts Swine Flu Outbreak in 2009
Chapter number 3
Book title
Electronic Healthcare
Published in
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, January 2012
DOI 10.1007/978-3-642-23635-8_3
Book ISBNs
978-3-64-223634-1, 978-3-64-223635-8
Authors

Martin Szomszor, Patty Kostkova, Ed de Quincey, Szomszor, M. N.

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

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 2 3%
United States 2 3%
Portugal 1 1%
Sweden 1 1%
Switzerland 1 1%
Spain 1 1%
Malaysia 1 1%
Unknown 70 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Master 12 15%
Student > Ph. D. Student 11 14%
Student > Bachelor 9 11%
Lecturer 4 5%
Other 16 20%
Unknown 15 19%
Readers by discipline Count As %
Computer Science 29 37%
Medicine and Dentistry 11 14%
Business, Management and Accounting 4 5%
Agricultural and Biological Sciences 4 5%
Engineering 3 4%
Other 5 6%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 October 2012.
All research outputs
#6,410,886
of 25,992,468 outputs
Outputs from Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
#1
of 1 outputs
Outputs of similar age
#51,667
of 252,854 outputs
Outputs of similar age from Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one scored the same or higher as 0 of them.
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 252,854 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 79% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them