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Gene Regulatory Networks

Overview of attention for book
Cover of 'Gene Regulatory Networks'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 How do you find transcription factors? Computational approaches to compile and annotate repertoires of regulators for any genome.
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    Chapter 2 Expression Pattern Analysis of Regulatory Transcription Factors in Caenorhabditis elegans
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    Chapter 3 High-Throughput SELEX Determination of DNA Sequences Bound by Transcription Factors In Vitro
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    Chapter 4 Convenient Determination of Protein-Binding DNA Sequences Using Quadruple 9-Mer-Based Microarray and DsRed-Monomer Fusion Protein
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    Chapter 5 Analysis of Specific Protein–DNA Interactions by Bacterial One-Hybrid Assay
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    Chapter 6 Gene Regulatory Networks
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    Chapter 7 Detecting protein-protein interactions with the Split-Ubiquitin sensor.
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    Chapter 8 Genome-Wide Dissection of Posttranscriptional and Posttranslational Interactions
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    Chapter 9 Linking Cellular Signalling to Gene Expression Using EXT-Encoded Reporter Libraries
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    Chapter 10 Sample Preparation for Small RNA Massive Parallel Sequencing
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    Chapter 11 CAGE (Cap Analysis of Gene Expression): A Protocol for the Detection of Promoter and Transcriptional Networks
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    Chapter 12 Gene Regulatory Networks
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    Chapter 13 Detecting long-range chromatin interactions using the chromosome conformation capture sequencing (4C-seq) method.
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    Chapter 14 Analyzing Transcription Factor Occupancy During Embryo Development Using ChIP-seq
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    Chapter 15 Genome-Wide Profiling of DNA-Binding Proteins Using Barcode-Based Multiplex Solexa Sequencing
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    Chapter 16 Computational Analysis of Protein–DNA Interactions from ChIP-seq Data
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    Chapter 17 Using a Yeast Inverse One-Hybrid System to Identify Functional Binding Sites of Transcription Factors
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    Chapter 18 Using cisTargetX to Predict Transcriptional Targets and Networks in Drosophila
  20. Altmetric Badge
    Chapter 19 Proteomic Methodologies to Study Transcription Factor Function
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    Chapter 20 A High-throughput Gateway-Compatible Yeast One-Hybrid Screen to Detect Protein–DNA Interactions
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    Chapter 21 BioTapestry: A Tool to Visualize the Dynamic Properties of Gene Regulatory Networks
  23. Altmetric Badge
    Chapter 22 Implicit Methods for Qualitative Modeling of Gene Regulatory Networks
Attention for Chapter 7: Detecting protein-protein interactions with the Split-Ubiquitin sensor.
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
34 Mendeley
Summary Wikipedia
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Chapter title
Detecting protein-protein interactions with the Split-Ubiquitin sensor.
Chapter number 7
Book title
Gene Regulatory Networks
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-292-2_7
Pubmed ID
21938623
Book ISBNs
978-1-61779-291-5, 978-1-61779-292-2
Authors

Dünkler A, Müller J, Johnsson N, Alexander Dünkler, Judith Müller, Nils Johnsson, Dünkler, Alexander, Müller, Judith, Johnsson, Nils

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 24%
Student > Master 3 9%
Professor > Associate Professor 3 9%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Other 3 9%
Unknown 12 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 35%
Agricultural and Biological Sciences 6 18%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 12 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 May 2014.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from Methods in molecular biology
#2,319
of 13,119 outputs
Outputs of similar age
#70,835
of 244,466 outputs
Outputs of similar age from Methods in molecular biology
#137
of 473 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,119 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% 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 244,466 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.

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