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Artificial Neural Networks

Overview of attention for book
Cover of 'Artificial Neural Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.
  3. Altmetric Badge
    Chapter 2 Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
  4. Altmetric Badge
    Chapter 3 Siamese Neural Networks: An Overview
  5. Altmetric Badge
    Chapter 4 Computational Methods for Elucidating Gene Expression Regulation in Bacteria
  6. Altmetric Badge
    Chapter 5 Neuroevolutive Algorithms Applied for Modeling Some Biochemical Separation Processes
  7. Altmetric Badge
    Chapter 6 Computational Approaches for De Novo Drug Design: Past, Present, and Future
  8. Altmetric Badge
    Chapter 7 Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology
  9. Altmetric Badge
    Chapter 8 Building and Interpreting Artificial Neural Network Models for Biological Systems
  10. Altmetric Badge
    Chapter 9 A Novel Computational Approach for Biomarker Detection for Gene Expression-Based Computer-Aided Diagnostic Systems for Breast Cancer
  11. Altmetric Badge
    Chapter 10 Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues
  12. Altmetric Badge
    Chapter 11 Leverage Large-Scale Biological Networks to Decipher the Genetic Basis of Human Diseases Using Machine Learning
  13. Altmetric Badge
    Chapter 12 Predicting Host Phenotype Based on Gut Microbiome Using a Convolutional Neural Network Approach.
  14. Altmetric Badge
    Chapter 13 Predicting Hot Spots Using a Deep Neural Network Approach
  15. Altmetric Badge
    Chapter 14 Using Neural Networks for Relation Extraction from Biomedical Literature
  16. Altmetric Badge
    Chapter 15 A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models
  17. Altmetric Badge
    Chapter 16 Secure and Scalable Collection of Biomedical Data for Machine Learning Applications
  18. Altmetric Badge
    Chapter 17 AI-Based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases
Attention for Chapter 13: Predicting Hot Spots Using a Deep Neural Network Approach
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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8 X users

Citations

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15 Dimensions

Readers on

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14 Mendeley
Summary X Dimensions citations
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Chapter title
Predicting Hot Spots Using a Deep Neural Network Approach
Chapter number 13
Book title
Artificial Neural Networks
Published in
Methods in molecular biology, January 2021
DOI 10.1007/978-1-0716-0826-5_13
Pubmed ID
32804371
Book ISBNs
978-1-07-160825-8, 978-1-07-160826-5
Authors

Preto, António J., Matos-Filipe, Pedro, de Almeida, José G., Mourão, Joana, Moreira, Irina S., António J. Preto, Pedro Matos-Filipe, José G. de Almeida, Joana Mourão, Irina S. Moreira

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 14%
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Professor 2 14%
Researcher 2 14%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Chemistry 3 21%
Unspecified 2 14%
Biochemistry, Genetics and Molecular Biology 1 7%
Agricultural and Biological Sciences 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 4 29%
Unknown 2 14%
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 08 September 2020.
All research outputs
#4,757,436
of 23,230,825 outputs
Outputs from Methods in molecular biology
#1,376
of 13,317 outputs
Outputs of similar age
#128,997
of 502,686 outputs
Outputs of similar age from Methods in molecular biology
#26
of 255 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,317 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 502,686 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 74% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.

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