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Transcription Factor Regulatory Networks

Overview of attention for book
Cover of 'Transcription Factor Regulatory Networks'

Table of Contents

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    Book Overview
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    Chapter 1 The TARGET System: Rapid Identification of Direct Targets of Transcription Factors by Gene Regulation in Plant Cells
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    Chapter 2 The Method of Screening and Identification of Transcription Factor in Klebsiella
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    Chapter 3 Genome-Wide Identification of Open Chromatin in Plants Using MH-Seq
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    Chapter 4 Post-bisulfite Adaptor Tagging with a Highly Efficient Single-Stranded DNA Ligation Technique
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    Chapter 5 Perturbation of Gene Regulation by Genome Editing
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    Chapter 6 Analysis of Neutrophil Morphology and Function Under Genetic Perturbation of Transcription Factors In Vitro
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    Chapter 7 Detection of TP53 Mutation in Acute Myeloid Leukemia by RT-PCR-Based Sanger Sequencing
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    Chapter 8 Assessing the Activity of Transcription Factor FoxO1
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    Chapter 9 Targeting Transcription Factors in Cancer: From “Undruggable” to “Druggable”
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    Chapter 10 A Survey of Transcription Factors in Cell Fate Control
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    Chapter 11 Single-Cell mRNA-Seq of In Vitro-Derived Human Neurons Using Smart-Seq2
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    Chapter 12 Computational Analysis of Single-Cell RNA-Seq Data
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    Chapter 13 Database for Plant Transcription Factor Binding Sites
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    Chapter 14 MicroRNA Regulatory Network Analysis Using miRNet 2.0
  16. Altmetric Badge
    Chapter 15 Modeling Plant Transcription Factor Networks Using ConSReg
  17. Altmetric Badge
    Chapter 16 Identification of Plant Co-regulatory Modules Using CoReg
Attention for Chapter 12: Computational Analysis of Single-Cell RNA-Seq Data
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Chapter title
Computational Analysis of Single-Cell RNA-Seq Data
Chapter number 12
Book title
Transcription Factor Regulatory Networks
Published in
Methods in molecular biology, October 2022
DOI 10.1007/978-1-0716-2815-7_12
Pubmed ID
Book ISBNs
978-1-07-162814-0, 978-1-07-162815-7
Authors

Byungjin Hwang, Hwang, Byungjin

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 October 2022.
All research outputs
#18,352,589
of 23,575,346 outputs
Outputs from Methods in molecular biology
#7,509
of 13,339 outputs
Outputs of similar age
#291,130
of 446,419 outputs
Outputs of similar age from Methods in molecular biology
#141
of 227 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,339 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 227 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.