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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.
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    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
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    Chapter 6 MicroRNAs in Melanoma Biology.
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    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
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    Chapter 15 Elucidating the Role of microRNAs in Cancer Through Data Mining Techniques
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    Chapter 16 Working Together: Combinatorial Regulation by microRNAs
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    Chapter 17 Erratum
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
12 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
279 Mendeley
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Title
MicroRNA Cancer Regulation
Published by
Advances in experimental medicine and biology, January 2013
DOI 10.1007/978-94-007-5590-1
ISBNs
978-9-40-075589-5, 978-9-40-075590-1
Editors

Ulf Schmitz, Olaf Wolkenhauer, Julio Vera

Twitter Demographics

The data shown below were collected from the profiles of 12 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 2 <1%
Chile 2 <1%
India 2 <1%
Brazil 2 <1%
United Kingdom 1 <1%
Italy 1 <1%
Australia 1 <1%
Germany 1 <1%
Belgium 1 <1%
Other 4 1%
Unknown 262 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 28%
Student > Master 57 20%
Researcher 53 19%
Student > Bachelor 32 11%
Student > Doctoral Student 12 4%
Other 36 13%
Unknown 10 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 46%
Biochemistry, Genetics and Molecular Biology 53 19%
Medicine and Dentistry 40 14%
Computer Science 9 3%
Engineering 8 3%
Other 24 9%
Unknown 16 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 March 2017.
All research outputs
#484,602
of 9,134,189 outputs
Outputs from Advances in experimental medicine and biology
#75
of 2,846 outputs
Outputs of similar age
#24,282
of 259,621 outputs
Outputs of similar age from Advances in experimental medicine and biology
#1
of 8 outputs
Altmetric has tracked 9,134,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,846 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 259,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 8 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