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Exosomes and Microvesicles

Overview of attention for book
Cover of 'Exosomes and Microvesicles'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Methods to Analyze EVs.
  3. Altmetric Badge
    Chapter 2 Tunable Resistive Pulse Sensing for the Characterization of Extracellular Vesicles.
  4. Altmetric Badge
    Chapter 3 Immuno-characterization of Exosomes Using Nanoparticle Tracking Analysis.
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    Chapter 4 Imaging and Quantification of Extracellular Vesicles by Transmission Electron Microscopy.
  6. Altmetric Badge
    Chapter 5 Quantitative Analysis of Exosomal miRNA via qPCR and Digital PCR.
  7. Altmetric Badge
    Chapter 6 Small RNA Library Construction for Exosomal RNA from Biological Samples for the Ion Torrent PGM™ and Ion S5™ System.
  8. Altmetric Badge
    Chapter 7 A Protocol for Isolation and Proteomic Characterization of Distinct Extracellular Vesicle Subtypes by Sequential Centrifugal Ultrafiltration.
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    Chapter 8 Multiplexed Phenotyping of Small Extracellular Vesicles Using Protein Microarray (EV Array).
  10. Altmetric Badge
    Chapter 9 Purification and Analysis of Exosomes Released by Mature Cortical Neurons Following Synaptic Activation.
  11. Altmetric Badge
    Chapter 10 A Method for Isolation of Extracellular Vesicles and Characterization of Exosomes from Brain Extracellular Space.
  12. Altmetric Badge
    Chapter 11 Isolation of Exosomes and Microvesicles from Cell Culture Systems to Study Prion Transmission.
  13. Altmetric Badge
    Chapter 12 Isolation of Platelet-Derived Extracellular Vesicles.
  14. Altmetric Badge
    Chapter 13 Bioinformatics Tools for Extracellular Vesicles Research.
  15. Altmetric Badge
    Chapter 14 Preparation and Isolation of siRNA-Loaded Extracellular Vesicles.
  16. Altmetric Badge
    Chapter 15 Interaction of Extracellular Vesicles with Endothelial Cells Under Physiological Flow Conditions.
  17. Altmetric Badge
    Chapter 16 Flow Cytometric Analysis of Extracellular Vesicles.
Attention for Chapter 6: Small RNA Library Construction for Exosomal RNA from Biological Samples for the Ion Torrent PGM™ and Ion S5™ System.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog

Citations

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Readers on

mendeley
22 Mendeley
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1 CiteULike
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Chapter title
Small RNA Library Construction for Exosomal RNA from Biological Samples for the Ion Torrent PGM™ and Ion S5™ System.
Chapter number 6
Book title
Exosomes and Microvesicles
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6728-5_6
Pubmed ID
Book ISBNs
978-1-4939-6726-1, 978-1-4939-6728-5
Authors

Lesley Cheng, Andrew F. Hill, Cheng, Lesley, Hill, Andrew F.

Editors

Andrew F Hill

Abstract

Next-generation deep sequencing (NGS) technology represents a powerful and innovative approach to profile small RNA. Currently, there are a number of large-scale and benchtop sequencing platforms available on the market. Although each platform is relatively straightforward to operate, constructing cDNA libraries can be the most difficult part of the NGS workflow. Constructing quality libraries is essential to obtaining a successful sequencing run of high-quality reads and coverage. The quality and yield of RNA affect hybridization and ligation of sequencing adapters. In the field of biomarker discovery, there has been an interest in profiling exosomal RNA from biological fluids. However, very little RNA yield is obtained when extracting RNA from exosomes, thus making library construction difficult. Here, this protocol describes an optimized protocol for constructing small RNA libraries from low yields of RNA, in particular, extracted from exosomes isolated from biological fluids.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 23%
Student > Master 2 9%
Librarian 1 5%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 10 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 2 9%
Arts and Humanities 1 5%
Unknown 10 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 January 2017.
All research outputs
#5,769,068
of 22,912,409 outputs
Outputs from Methods in molecular biology
#1,618
of 13,131 outputs
Outputs of similar age
#106,747
of 420,479 outputs
Outputs of similar age from Methods in molecular biology
#184
of 1,074 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 87% 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 420,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% 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 well, scoring higher than 82% of its contemporaries.