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miRNomics: MicroRNA Biology and Computational Analysis

Overview of attention for book
Cover of 'miRNomics: MicroRNA Biology and Computational Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to MicroRNAs in Biological Systems
  3. Altmetric Badge
    Chapter 2 The Role of MicroRNAs in Biological Processes
  4. Altmetric Badge
    Chapter 3 The Role of MicroRNAs in Human Diseases
  5. Altmetric Badge
    Chapter 4 Introduction to bioinformatics.
  6. Altmetric Badge
    Chapter 5 MicroRNA and Noncoding RNA-Related Data Sources
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    Chapter 6 High-Throughput Approaches for MicroRNA Expression Analysis.
  8. Altmetric Badge
    Chapter 7 Introduction to Machine Learning
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    Chapter 8 Introduction to Statistical Methods for MicroRNA Analysis.
  10. Altmetric Badge
    Chapter 9 Computational and Bioinformatics Methods for MicroRNA Gene Prediction
  11. Altmetric Badge
    Chapter 10 Machine Learning Methods for MicroRNA Gene Prediction
  12. Altmetric Badge
    Chapter 11 Functional, Structural, and Sequence Studies of MicroRNA
  13. Altmetric Badge
    Chapter 12 Computational Methods for MicroRNA Target Prediction
  14. Altmetric Badge
    Chapter 13 MicroRNA Target and Gene Validation in Viruses and Bacteria
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    Chapter 14 Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells.
  16. Altmetric Badge
    Chapter 15 Computational Prediction of MicroRNA Function and Activity
  17. Altmetric Badge
    Chapter 16 Analysis of MicroRNA Expression Using Machine Learning.
  18. Altmetric Badge
    Chapter 17 MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer
  19. Altmetric Badge
    Chapter 18 Master Regulators of Posttranscriptional Gene Expression Are Subject to Regulation
  20. Altmetric Badge
    Chapter 19 Use of MicroRNAs in Personalized Medicine
Attention for Chapter 7: Introduction to Machine Learning
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
peer_reviews
1 peer review site

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
1699 Mendeley
citeulike
1 CiteULike
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.
Chapter title
Introduction to Machine Learning
Chapter number 7
Book title
miRNomics: MicroRNA Biology and Computational Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-748-8_7
Pubmed ID
Book ISBNs
978-1-62703-747-1, 978-1-62703-748-8
Authors

Yalin Baştanlar, Mustafa Özuysal, Baştanlar, Yalin, Özuysal, Mustafa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,699 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 <1%
India 6 <1%
United Kingdom 5 <1%
Portugal 3 <1%
Brazil 3 <1%
Netherlands 2 <1%
France 2 <1%
Turkey 1 <1%
Switzerland 1 <1%
Other 16 <1%
Unknown 1646 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 297 17%
Student > Ph. D. Student 261 15%
Student > Bachelor 229 13%
Researcher 177 10%
Student > Doctoral Student 72 4%
Other 250 15%
Unknown 413 24%
Readers by discipline Count As %
Computer Science 494 29%
Engineering 274 16%
Agricultural and Biological Sciences 70 4%
Physics and Astronomy 44 3%
Medicine and Dentistry 42 2%
Other 308 18%
Unknown 467 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2020.
All research outputs
#4,740,277
of 23,045,021 outputs
Outputs from Methods in molecular biology
#1,380
of 13,194 outputs
Outputs of similar age
#57,193
of 306,691 outputs
Outputs of similar age from Methods in molecular biology
#62
of 589 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 306,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 589 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.