↓ Skip to main content

RNAi and Small Regulatory RNAs in Stem Cells

Overview of attention for book
Cover of 'RNAi and Small Regulatory RNAs in Stem Cells'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 RNAi Technique in Stem Cell Research: Current Status and Future Perspectives
  3. Altmetric Badge
    Chapter 2 RNAi and MicroRNA-Mediated Gene Regulation in Stem Cells
  4. Altmetric Badge
    Chapter 3 Forward RNAi Screens in Human Hematopoietic Stem Cells
  5. Altmetric Badge
    Chapter 4 Silencing of ATP11B by RNAi-Induced Changes in Neural Stem Cell Morphology
  6. Altmetric Badge
    Chapter 5 High-Efficiency Transfection of Glioblastoma Cells and a Simple Spheroid Migration Assay
  7. Altmetric Badge
    Chapter 6 Construction and Application of Random dsRNA Interference Library for Functional Genetic Screens in Embryonic Stem Cells
  8. Altmetric Badge
    Chapter 7 Efficient Depletion of Essential Gene Products for Loss-of-Function Studies in Embryonic Stem Cells
  9. Altmetric Badge
    Chapter 8 Regulation and/or Repression of Cholinergic Differentiation of Murine Embryonic Stem Cells Using RNAi Directed Against Transcription Factor L3/Lhx8
  10. Altmetric Badge
    Chapter 9 A Recessive Genetic Screen for Components of the RNA Interference Pathway Performed in Mouse Embryonic Stem Cells
  11. Altmetric Badge
    Chapter 10 RNAi Knockdown of Ape1 Gene in the Differentiation of Mouse Embryonic Stem Cells
  12. Altmetric Badge
    Chapter 11 An Efficient Transfection Method for Differentiation and Cell Proliferation of Mouse Embryonic Stem Cells
  13. Altmetric Badge
    Chapter 12 Implanting Glioblastoma Spheroids into Rat Brains and Monitoring Tumor Growth by MRI Volumetry
  14. Altmetric Badge
    Chapter 13 RNAi-Based Techniques for the Analysis of Gene Function in Drosophila Germline Stem Cells
  15. Altmetric Badge
    Chapter 14 In vivo RNAi in the Drosophila Follicular Epithelium: Analysis of Stem Cell Maintenance, Proliferation, and Differentiation
  16. Altmetric Badge
    Chapter 15 A Phenotype-Based RNAi Screening for Ras-ERK/MAPK Signaling-Associated Stem Cell Regulators in C. elegans
  17. Altmetric Badge
    Chapter 16 Engineering Human Mesenchymal Stem Cells to Release Adenosine Using miRNA Technology
  18. Altmetric Badge
    Chapter 17 Efficient Gene Knockdowns in Mouse Embryonic Stem Cells Using MicroRNA-Based shRNAs
  19. Altmetric Badge
    Chapter 18 Using Quantitative Real-Time PCR to Detect MicroRNA Expression Profile During Embryonic Stem Cell Differentiation
  20. Altmetric Badge
    Chapter 19 Genetic Tools for Self-Organizing Culture of Mouse Embryonic Stem Cells via Small Regulatory RNA-Mediated Technologies, CRISPR/Cas9, and Inducible RNAi
  21. Altmetric Badge
    Chapter 20 CRISPR-Cas9-Mediated Gene Editing in Mouse Spermatogonial Stem Cells
Overall attention for this book and its chapters
Altmetric Badge

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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
35 Mendeley
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.
Title
RNAi and Small Regulatory RNAs in Stem Cells
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7108-4
ISBNs
978-1-4939-7106-0, 978-1-4939-7108-4
Editors

Baohong Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 6%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Student > Master 2 6%
Researcher 2 6%
Other 2 6%
Unknown 23 66%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 17%
Engineering 2 6%
Social Sciences 1 3%
Agricultural and Biological Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 23 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 14 July 2017.
All research outputs
#2,146,925
of 22,986,950 outputs
Outputs from Methods in molecular biology
#357
of 13,149 outputs
Outputs of similar age
#46,385
of 421,133 outputs
Outputs of similar age from Methods in molecular biology
#53
of 1,074 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,149 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 421,133 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 88% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.