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Stem Cell Transcriptional Networks

Overview of attention for book
Cover of 'Stem Cell Transcriptional Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient library preparation for next-generation sequencing analysis of genome-wide epigenetic and transcriptional landscapes in embryonic stem cells.
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    Chapter 2 Analysis of next-generation sequencing data using galaxy.
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    Chapter 3 edgeR for Differential RNA-seq and ChIP-seq Analysis: An Application to Stem Cell Biology.
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    Chapter 4 Use Model-Based Analysis of ChIP-Seq (MACS) to Analyze Short Reads Generated by Sequencing Protein-DNA Interactions in Embryonic Stem Cells.
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    Chapter 5 Spatial Clustering for Identification of ChIP-Enriched Regions (SICER) to Map Regions of Histone Methylation Patterns in Embryonic Stem Cells
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    Chapter 6 Identifying Stem Cell Gene Expression Patterns and Phenotypic Networks with AutoSOME
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    Chapter 7 Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE
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    Chapter 8 Interpreting and Visualizing ChIP-seq Data with the seqMINER Software.
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    Chapter 9 A Description of the Molecular Signatures Database (MSigDB) Web Site
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    Chapter 10 Use of Genome-Wide RNAi Screens to Identify Regulators of Embryonic Stem Cell Pluripotency and Self-Renewal
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    Chapter 11 Correlating Histone Modification Patterns with Gene Expression Data During Hematopoiesis
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    Chapter 12 In Vitro Maturation and In Vitro Fertilization of Mouse Oocytes and Preimplantation Embryo Culture
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    Chapter 13 Derivation and manipulation of trophoblast stem cells from mouse blastocysts.
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    Chapter 14 Conversion of epiblast stem cells to embryonic stem cells using growth factors and small molecule inhibitors.
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    Chapter 15 Generation of Induced Pluripotent Stem Cells Using Chemical Inhibition and Three Transcription Factors
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    Chapter 16 Transdifferentiation of Mouse Fibroblasts and Hepatocytes to Functional Neurons
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    Chapter 17 Direct Lineage Conversion of Pancreatic Exocrine to Endocrine Beta Cells In Vivo with Defined Factors
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    Chapter 18 Direct Reprogramming of Cardiac Fibroblasts to Cardiomyocytes Using MicroRNAs.
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    Chapter 19 Reprogramming Somatic Cells into Pluripotent Stem Cells Using miRNAs.
Attention for Chapter 5: Spatial Clustering for Identification of ChIP-Enriched Regions (SICER) to Map Regions of Histone Methylation Patterns in Embryonic Stem Cells
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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178 Mendeley
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Chapter title
Spatial Clustering for Identification of ChIP-Enriched Regions (SICER) to Map Regions of Histone Methylation Patterns in Embryonic Stem Cells
Chapter number 5
Book title
Stem Cell Transcriptional Networks
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0512-6_5
Pubmed ID
Book ISBNs
978-1-4939-0511-9, 978-1-4939-0512-6
Authors

Shiliyang Xu, Sean Grullon, Kai Ge, Weiqun Peng, Xu, Shiliyang, Grullon, Sean, Ge, Kai, Peng, Weiqun

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
France 1 <1%
Unknown 175 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 23%
Researcher 36 20%
Student > Bachelor 18 10%
Student > Master 16 9%
Other 11 6%
Other 27 15%
Unknown 29 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 31%
Biochemistry, Genetics and Molecular Biology 55 31%
Medicine and Dentistry 7 4%
Neuroscience 5 3%
Computer Science 4 2%
Other 14 8%
Unknown 37 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2018.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from Methods in molecular biology
#2,318
of 14,458 outputs
Outputs of similar age
#83,342
of 324,982 outputs
Outputs of similar age from Methods in molecular biology
#94
of 582 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 14,458 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 83% 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 324,982 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 73% of its contemporaries.
We're also able to compare this research output to 582 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.