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Body Area Networks. Smart IoT and Big Data for Intelligent Health

Overview of attention for book
Cover of 'Body Area Networks. Smart IoT and Big Data for Intelligent Health'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Providing Connectivity to Implanted Electronics Devices: Experimental Results on Optical Communications Over Biological Tissues with Comparisons Against UWB
  3. Altmetric Badge
    Chapter 2 On the UWB in-Body Propagation Measurements Using Pork Meat
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    Chapter 3 Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics
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    Chapter 4 UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms
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    Chapter 5 BSNCloud: Cloud-Centered Wireless Body Sensor Data Collection, Streaming, and Analytics System
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    Chapter 6 Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System
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    Chapter 7 Amplitude Modulation in a Molecular Communication Testbed with Superparamagnetic Iron Oxide Nanoparticles and a Micropump
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    Chapter 8 An Enhanced DNA Sequence Table for Improved Security and Reduced Computational Complexity of DNA Cryptography
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    Chapter 9 Solving Generic Decision Problems by in-Message Computation in DNA-Based Molecular Nanonetworks
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    Chapter 10 A Model for Electro-Chemical Neural Communication
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    Chapter 11 Activity Monitoring Using Smart Glasses: Exploring the Feasibility of Pedometry on Head Mounted Displays
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    Chapter 12 Real-Time Human Activity Recognition Using Textile-Based Sensors
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    Chapter 13 Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogram
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    Chapter 14 An Ultra-low-Power Integrated Heartbeat Detector for Wearable Sensors
  16. Altmetric Badge
    Chapter 15 Anxiety Detection Leveraging Mobile Passive Sensing
Attention for Chapter 9: Solving Generic Decision Problems by in-Message Computation in DNA-Based Molecular Nanonetworks
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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2 Dimensions

Readers on

mendeley
2 Mendeley
Summary X Dimensions citations
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Chapter title
Solving Generic Decision Problems by in-Message Computation in DNA-Based Molecular Nanonetworks
Chapter number 9
Book title
Body Area Networks. Smart IoT and Big Data for Intelligent Health
Published in
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, January 2020
DOI 10.1007/978-3-030-64991-3_9
Book ISBNs
978-3-03-064990-6, 978-3-03-064991-3
Authors

Lau, Florian-Lennert Adrian, Wendt, Regine, Fischer, Stefan

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Mathematics 1 50%
Engineering 1 50%
Attention Score in Context

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 10 February 2024.
All research outputs
#16,399,759
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
#272,552
of 481,746 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. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.6. 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 481,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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

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