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Emerging Trends in Neuro Engineering and Neural Computation

Overview of attention for book
Cover of 'Emerging Trends in Neuro Engineering and Neural Computation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 CMOS-Based High-Density Microelectrode Arrays: Technology and Applications
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    Chapter 2 Microelectrode Arrays: Architecture, Challenges and Engineering Solutions
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    Chapter 3 Revolutionizing Causal Circuitry Neurostimulation Utilizing the Optogenetic Technique Through Advanced Microsystems Development
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    Chapter 4 Physiological Monitoring in Deep Brain Stimulation: Toward Closed-Loop Neuromodulation Therapies
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    Chapter 5 Mechanism of Docosahexaenoic Acid in the Enhancement of Neuronal Signalling
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    Chapter 6 Insects Neural Model: Potential Alternate to Mammals for Electrophysiological Studies
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    Chapter 7 Synchronization Criteria for Delay Coupled Izhikevich Neurons
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    Chapter 8 Capturing Cognition via EEG-Based Functional Brain Networks
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    Chapter 9 Modelling of Tumour-Induced Angiogenesis Influenced by Haptotaxis
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    Chapter 10 Noise Reduction in ECG Signals Using Wavelet Transform and Dynamic Thresholding
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    Chapter 11 Development of a Co-evolutionary Radial Basis Function Neural Classifier by a k-Random Opponents Topology
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    Chapter 12 Mining Outliers from Medical Datasets Using Neighbourhood Rough Set and Data Classification with Neural Network
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    Chapter 13 A Modified Functional Link Neural Network for Data Classification
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    Chapter 14 Experimental Study of Elman Network in Temporal Classification
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    Chapter 15 Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Readers on

mendeley
59 Mendeley
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Title
Emerging Trends in Neuro Engineering and Neural Computation
Published by
Series in BioEngineering, January 2017
DOI 10.1007/978-981-10-3957-7
ISBNs
978-9-81-103955-3, 978-9-81-103957-7
Editors

Asim Bhatti, Kendall H. Lee, Hamid Garmestani, Chee Peng Lim

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Student > Bachelor 12 20%
Student > Ph. D. Student 11 19%
Student > Postgraduate 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 9 15%
Readers by discipline Count As %
Engineering 16 27%
Computer Science 7 12%
Neuroscience 5 8%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 3 5%
Other 13 22%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 January 2018.
All research outputs
#4,244,949
of 25,992,468 outputs
Outputs from Series in BioEngineering
#1
of 1 outputs
Outputs of similar age
#75,180
of 425,695 outputs
Outputs of similar age from Series in BioEngineering
#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 83rd 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 more attention than average, with a mean Attention Score of 8.8. 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 425,695 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 82% 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