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MicroRNA Cancer Regulation

Overview of attention for book
Cover of 'MicroRNA Cancer Regulation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MicroRNAs in Human Cancer.
  3. Altmetric Badge
    Chapter 2 Bioinformatics, Non-coding RNAs and Its Possible Application in Personalized Medicine
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    Chapter 3 MicroRNA Target Prediction and Validation
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    Chapter 4 MicroRNA-Regulated Networks: The Perfect Storm for Classical Molecular Biology, the Ideal Scenario for Systems Biology
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    Chapter 5 The p53/microRNA Network in Cancer: Experimental and Bioinformatics Approaches
  7. Altmetric Badge
    Chapter 6 MicroRNAs in Melanoma Biology.
  8. Altmetric Badge
    Chapter 7 MicroRNAs in the Lung
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    Chapter 8 The E2F1-miRNA Cancer Progression Network
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    Chapter 9 Modeling microRNA-Transcription Factor Networks in Cancer
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    Chapter 10 Coordinated Networks of microRNAs and Transcription Factors with Evolutionary Perspectives
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    Chapter 11 Mathematical modeling of microRNA-mediated mechanisms of translation repression
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    Chapter 12 Web Resources for microRNA Research
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    Chapter 13 Discovery of microRNA Regulatory Networks by Integrating Multidimensional High-Throughput Data.
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    Chapter 14 Discovering Functional microRNA-mRNA Regulatory Modules in Heterogeneous Data
  16. Altmetric Badge
    Chapter 15 Elucidating the Role of microRNAs in Cancer Through Data Mining Techniques
  17. Altmetric Badge
    Chapter 16 Working Together: Combinatorial Regulation by microRNAs
  18. Altmetric Badge
    Chapter 17 Erratum
Attention for Chapter 1: MicroRNAs in Human Cancer.
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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83 Mendeley
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Chapter title
MicroRNAs in Human Cancer.
Chapter number 1
Book title
MicroRNA Cancer Regulation
Published in
Advances in experimental medicine and biology, December 2012
DOI 10.1007/978-94-007-5590-1_1
Pubmed ID
Book ISBNs
978-9-40-075589-5, 978-9-40-075590-1
Authors

Farazi TA, Hoell JI, Morozov P, Tuschl T, Thalia A. Farazi, Jessica I. Hoell, Pavel Morozov, Thomas Tuschl

Editors

Ulf Schmitz, Olaf Wolkenhauer, Julio Vera

Abstract

Mature microRNAs (miRNAs) are single-stranded RNA molecules of 20-23-nucleotide (nt) length that control gene expression in many cellular processes. These molecules typically reduce the translation and stability of mRNAs, including those of genes that mediate processes in tumorigenesis, such as inflammation, cell cycle regulation, stress response, differentiation, apoptosis, and invasion. miRNA targeting is initiated through specific base-pairing interactions between the 5' end ("seed" region) of the miRNA and sites within coding and untranslated regions (UTRs) of mRNAs; target sites in the 3' UTR lead to more effective mRNA destabilization. Since miRNAs frequently target hundreds of mRNAs, miRNA regulatory pathways are complex. To provide a critical overview of miRNA dysregulation in cancer, we first discuss the methods currently available for studying the role of miRNAs in cancer and then review miRNA genomic organization, biogenesis, and mechanism of target recognition, examining how these processes are altered in tumorigenesis. Given the critical role miRNAs play in tumorigenesis processes and their disease specific expression, they hold potential as therapeutic targets and novel biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 19%
Student > Ph. D. Student 15 18%
Student > Bachelor 11 13%
Student > Master 10 12%
Student > Postgraduate 4 5%
Other 10 12%
Unknown 17 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 24%
Agricultural and Biological Sciences 17 20%
Medicine and Dentistry 12 14%
Computer Science 5 6%
Engineering 3 4%
Other 10 12%
Unknown 16 19%
Attention Score in Context

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 20 June 2013.
All research outputs
#13,891,295
of 22,712,476 outputs
Outputs from Advances in experimental medicine and biology
#1,991
of 4,914 outputs
Outputs of similar age
#164,303
of 280,205 outputs
Outputs of similar age from Advances in experimental medicine and biology
#72
of 157 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,914 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 58% 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 280,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.