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CpG Islands

Overview of attention for book
Cover of 'CpG Islands'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 CpG Islands: A Historical Perspective
  3. Altmetric Badge
    Chapter 2 Biochemical Identification of Nonmethylated DNA by BioCAP-Seq
  4. Altmetric Badge
    Chapter 3 Prediction of CpG Islands as an Intrinsic Clustering Property Found in Many Eukaryotic DNA Sequences and Its Relation to DNA Methylation
  5. Altmetric Badge
    Chapter 4 CpG Islands in Cancer: Heads, Tails, and Sides
  6. Altmetric Badge
    Chapter 5 Infinium DNA Methylation Microarrays on Formalin-Fixed, Paraffin-Embedded Samples
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    Chapter 6 The Use of Methylation-Sensitive Multiplex Ligation-Dependent Probe Amplification for Quantification of Imprinted Methylation
  8. Altmetric Badge
    Chapter 7 The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data
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    Chapter 8 Methylation-Sensitive Amplification Length Polymorphism (MS-AFLP) Microarrays for Epigenetic Analysis of Human Genomes
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    Chapter 9 Genome-Wide Profiling of DNA Methyltransferases in Mammalian Cells
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    Chapter 10 Experimental Design and Bioinformatic Analysis of DNA Methylation Data
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    Chapter 11 Assay for Transposase Accessible Chromatin (ATAC-Seq) to Chart the Open Chromatin Landscape of Human Pancreatic Islets
  13. Altmetric Badge
    Chapter 12 Defining Regulatory Elements in the Human Genome Using Nucleosome Occupancy and Methylome Sequencing (NOMe-Seq)
  14. Altmetric Badge
    Chapter 13 Genome-Wide Mapping of Protein–DNA Interactions on Nascent Chromatin
  15. Altmetric Badge
    Chapter 14 Analysis of Chromatin Interactions Mediated by Specific Architectural Proteins in Drosophila Cells
  16. Altmetric Badge
    Chapter 15 High-Throughput Single-Cell RNA Sequencing and Data Analysis
  17. Altmetric Badge
    Chapter 16 Functional Insulator Scanning of CpG Islands to Identify Regulatory Regions of Promoters Using CRISPR
  18. Altmetric Badge
    Chapter 17 An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics
Attention for Chapter 15: High-Throughput Single-Cell RNA Sequencing and Data Analysis
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
21 tweeters

Readers on

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29 Mendeley
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Chapter title
High-Throughput Single-Cell RNA Sequencing and Data Analysis
Chapter number 15
Book title
CpG Islands
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7768-0_15
Pubmed ID
Book ISBNs
978-1-4939-7767-3, 978-1-4939-7768-0
Authors

Sagar, Josip Stefan Herman, John Andrew Pospisilik, Dominic Grün

Abstract

Understanding biological systems at a single cell resolution may reveal several novel insights which remain masked by the conventional population-based techniques providing an average readout of the behavior of cells. Single-cell transcriptome sequencing holds the potential to identify novel cell types and characterize the cellular composition of any organ or tissue in health and disease. Here, we describe a customized high-throughput protocol for single-cell RNA-sequencing (scRNA-seq) combining flow cytometry and a nanoliter-scale robotic system. Since scRNA-seq requires amplification of a low amount of endogenous cellular RNA, leading to substantial technical noise in the dataset, downstream data filtering and analysis require special care. Therefore, we also briefly describe in-house state-of-the-art data analysis algorithms developed to identify cellular subpopulations including rare cell types as well as to derive lineage trees by ordering the identified subpopulations of cells along the inferred differentiation trajectories.

Twitter Demographics

The data shown below were collected from the profiles of 21 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Master 6 21%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 10%
Unspecified 1 3%
Other 5 17%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 48%
Agricultural and Biological Sciences 5 17%
Medicine and Dentistry 2 7%
Unspecified 1 3%
Immunology and Microbiology 1 3%
Other 2 7%
Unknown 4 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 22 July 2018.
All research outputs
#986,457
of 15,020,327 outputs
Outputs from Methods in molecular biology
#114
of 8,861 outputs
Outputs of similar age
#32,742
of 277,182 outputs
Outputs of similar age from Methods in molecular biology
#2
of 7 outputs
Altmetric has tracked 15,020,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,861 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 98% 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 277,182 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.