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Bioinformatics in MicroRNA Research

Overview of attention for book
Cover of 'Bioinformatics in MicroRNA Research'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MicroRNAs, Long Noncoding RNAs, and Their Functions in Human Disease
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    Chapter 2 MicroRNA Expression: Protein Participants in MicroRNA Regulation
  4. Altmetric Badge
    Chapter 3 Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs
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    Chapter 4 MicroRNAs: Biomarkers, Diagnostics, and Therapeutics
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    Chapter 5 Relational Databases and Biomedical Big Data
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    Chapter 6 Semantic Technologies and Bio-Ontologies
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    Chapter 7 Genome-Wide Analysis of MicroRNA-Regulated Transcripts
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    Chapter 8 Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources
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    Chapter 9 Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies
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    Chapter 10 The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy.
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    Chapter 11 Genomic Regulation of MicroRNA Expression in Disease Development
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    Chapter 12 Next-Generation Sequencing for MicroRNA Expression Profile
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    Chapter 13 Handling High-Dimension (High-Feature) MicroRNA Data.
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    Chapter 14 Effective Removal of Noisy Data Via Batch Effect Processing
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    Chapter 15 Logical Reasoning (Inferencing) on MicroRNA Data
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    Chapter 16 Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions
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    Chapter 17 Involvement of MicroRNAs in Diabetes and Its Complications
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    Chapter 18 MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role.
  20. Altmetric Badge
    Chapter 19 Expression of MicroRNAs in Thyroid Carcinoma.
Attention for Chapter 3: Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs
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  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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5 tweeters

Citations

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4 Dimensions

Readers on

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21 Mendeley
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Chapter title
Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs
Chapter number 3
Book title
Bioinformatics in MicroRNA Research
Published in
Methods in molecular biology, May 2017
DOI 10.1007/978-1-4939-7046-9_3
Pubmed ID
Book ISBNs
978-1-4939-7044-5, 978-1-4939-7046-9
Authors

Cardin, Sara-Elizabeth, Borchert, Glen M., Sara-Elizabeth Cardin, Glen M. Borchert Ph.D., Glen M. Borchert

Editors

Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu

Abstract

As masters of genome-wide regulation, miRNAs represent a key component in the complex architecture of cellular processes. Over the last decade, it has become increasingly apparent that miRNAs have many important roles in the development of disease and cancer. Recently, however, their role in viral and bacterial gene regulation as well as host gene regulation during disease progression has become a field of interest. Due to their small size, miRNAs are the ideal mechanism for bacteria and viruses that have limited room in their genomes, as a single miRNA can target up to ~30 genes. Currently, only a limited number of miRNA and miRNA-like RNAs have been found in bacteria and viruses, a number that is sure to increase rapidly in the future. The interactions of these small noncoding RNAs in such primitive species have wide-reaching effects, from increasing viral and bacterial proliferation, better responses to stress, increased virulence, to manipulation of host immune responses to provide a more ideal environment for these pathogens to thrive. Here, we explore those roles to obtain a better grasp of just how complicated disease truly is.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 4 19%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Professor 1 5%
Other 5 24%
Unknown 2 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 33%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 2 10%
Immunology and Microbiology 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 4 19%

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 03 February 2020.
All research outputs
#9,782,897
of 16,579,356 outputs
Outputs from Methods in molecular biology
#2,661
of 9,634 outputs
Outputs of similar age
#137,892
of 273,127 outputs
Outputs of similar age from Methods in molecular biology
#6
of 32 outputs
Altmetric has tracked 16,579,356 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,634 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 69% 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 273,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.