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Hidden Markov Models

Overview of attention for book
Cover of 'Hidden Markov Models'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Hidden Markov Models and Its Applications in Biology
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    Chapter 2 HMMs in Protein Fold Classification
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    Chapter 3 Application of Hidden Markov Models in Biomolecular Simulations
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    Chapter 4 Predicting Beta Barrel Transmembrane Proteins Using HMMs
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    Chapter 5 Predicting Alpha Helical Transmembrane Proteins Using HMMs
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    Chapter 6 Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization
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    Chapter 7 Analyzing Single Molecule FRET Trajectories Using HMM
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    Chapter 8 Modelling ChIP-seq Data Using HMMs
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    Chapter 9 Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence
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    Chapter 10 Computationally Tractable Multivariate HMM in Genome-Wide Mapping Studies
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    Chapter 11 Hidden Markov Models in Population Genomics
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    Chapter 12 Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes Using HMMs and Hierarchical Bayesian Modeling Approaches
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    Chapter 13 Finding RNA–Protein Interaction Sites Using HMMs
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    Chapter 14 Automated Estimation of Mouse Social Behaviors Based on a Hidden Markov Model
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    Chapter 15 Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
8 Mendeley
citeulike
1 CiteULike
Summary X Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Hidden Markov Models
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6753-7
ISBNs
978-1-4939-6751-3, 978-1-4939-6753-7
Editors

David R. Westhead, M. S. Vijayabaskar

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Bachelor 2 25%
Student > Master 1 13%
Unknown 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Computer Science 2 25%
Business, Management and Accounting 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2018.
All research outputs
#6,471,851
of 22,955,959 outputs
Outputs from Methods in molecular biology
#1,963
of 13,137 outputs
Outputs of similar age
#121,836
of 421,018 outputs
Outputs of similar age from Methods in molecular biology
#223
of 1,074 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 421,018 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 70% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.

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