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Translational Bioinformatics and Its Application

Overview of attention for book
Cover of 'Translational Bioinformatics and Its Application'

Table of Contents

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    Book Overview
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    Chapter 1 Drug Discovery
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    Chapter 2 Translational Bioinformatics and Drug Discovery
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    Chapter 3 Translational Research in Drug Discovery and Development
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    Chapter 4 Exploring the Potential of Herbal Ligands Toward Multidrug-Resistant Bacterial Pathogens by Computational Drug Discovery
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    Chapter 5 The Progress of New Targets of Anti-HIV and Its Inhibitors
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    Chapter 6 Recent Studies on Mechanisms of New Drug Candidates for Alzheimer’s Disease Interacting with Amyloid-β Protofibrils Using Molecular Dynamics Simulations
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    Chapter 7 Homology Modelling, Structure-Based Pharmacophore Modelling, High-Throughput Virtual Screening and Docking Studies of L-Type Calcium Channel for Cadmium Toxicity
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    Chapter 8 Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases: An In Silico and In Vitro Advancement
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    Chapter 9 Genome-Wide Association Studies: A Comprehensive Tool to Explore Comparative Genomic Variations and Interactions
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    Chapter 10 A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA-Seq) Data Analysis
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    Chapter 11 Epigenetics and Its Role in Human Cancer
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    Chapter 12 Methods for Microbiome Analysis
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    Chapter 13 Pharmacogenomics: Clinical Perspective, Strategies, and Challenges
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    Chapter 14 Computational Network Approaches and Their Applications for Complex Diseases
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    Chapter 15 Bioinformatics Applications in Clinical Microbiology
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    Chapter 16 Artificial Intelligence and Automatic Image Interpretation in Modern Medicine
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    Chapter 17 Computation in Medicine: Medical Image Analysis and Visualization
Attention for Chapter 10: A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA-Seq) Data Analysis
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Citations

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Readers on

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49 Mendeley
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Summary X Dimensions citations
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Chapter title
A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA-Seq) Data Analysis
Chapter number 10
Book title
Translational Bioinformatics and Its Application
Published in
Translational Medicine Research, April 2017
DOI 10.1007/978-94-024-1045-7_10
Book ISBNs
978-9-40-241043-3, 978-9-40-241045-7
Authors

Pallavi Gaur, Anoop Chaturvedi

Editors

Dong-Qing Wei, Yilong Ma, William C.S. Cho, Qin Xu, Fengfeng Zhou

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 35%
Student > Ph. D. Student 11 22%
Student > Bachelor 7 14%
Student > Doctoral Student 3 6%
Other 1 2%
Other 2 4%
Unknown 8 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 27%
Agricultural and Biological Sciences 12 24%
Computer Science 5 10%
Social Sciences 2 4%
Engineering 2 4%
Other 5 10%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 May 2017.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Translational Medicine Research
#1
of 1 outputs
Outputs of similar age
#209,532
of 326,913 outputs
Outputs of similar age from Translational Medicine Research
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 1.0. 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 326,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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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