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Plant Gene Regulatory Networks

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 From Genes to Networks: Characterizing Gene-Regulatory Interactions in Plants
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    Chapter 2 Inducible Promoter Systems for Gene Perturbation Experiments in Arabidopsis
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    Chapter 3 Cell Type-Specific Gene Expression Profiling Using Fluorescence-Activated Nuclear Sorting
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    Chapter 4 Characterization of Cell-Type-Specific DNA Binding Sites of Plant Transcription Factors Using Chromatin Immunoprecipitation
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    Chapter 5 Yeast One- and Two-Hybrid High-Throughput Screenings Using Arrayed Libraries
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    Chapter 6 SELEX-Seq: A Method to Determine DNA Binding Specificities of Plant Transcription Factors
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    Chapter 7 Analysis of a Plant Transcriptional Regulatory Network Using Transient Expression Systems
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    Chapter 8 Analysis of In Vivo Chromatin and Protein Interactions of Arabidopsis Transcript Elongation Factors
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    Chapter 9 Characterization of Mediator Complex and its Associated Proteins from Rice
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    Chapter 10 DNase I SIM: A Simplified In-Nucleus Method for DNase I Hypersensitive Site Sequencing
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    Chapter 11 In Situ Hi-C Library Preparation for Plants to Study Their Three-Dimensional Chromatin Interactions on a Genome-Wide Scale
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    Chapter 12 Multiplexed Transcriptional Activation or Repression in Plants Using CRISPR-dCas9-Based Systems
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    Chapter 13 Generation of dTALEs and Libraries of Synthetic TALE-Activated Promoters for Engineering of Gene Regulatory Networks in Plants
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    Chapter 14 Design of Knowledge Bases for Plant Gene Regulatory Networks
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    Chapter 15 AraNet: A Network Biology Server for Arabidopsis thaliana and Other Non-Model Plant Species
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    Chapter 16 Integration of Genome-Wide TF Binding and Gene Expression Data to Characterize Gene Regulatory Networks in Plant Development
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    Chapter 17 Predicting Transcription Factor Binding Sites and Their Cognate Transcription Factors Using Gene Expression Data
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    Chapter 18 Computational Approaches to Study Gene Regulatory Networks
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    Chapter 19 Boolean Dynamic Modeling Approaches to Study Plant Gene Regulatory Networks: Integration, Validation, and Prediction
  21. Altmetric Badge
    Chapter 20 ODE-Based Modeling of Complex Regulatory Circuits
  22. Altmetric Badge
    Chapter 21 Inferring Gene Regulatory Networks in the Arabidopsis Root Using a Dynamic Bayesian Network Approach
Overall attention for this book and its chapters
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
21 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages

Citations

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5 Dimensions

Readers on

mendeley
117 Mendeley
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Title
Plant Gene Regulatory Networks
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7125-1
ISBNs
978-1-4939-7124-4, 978-1-4939-7125-1
Editors

Kerstin Kaufmann, Bernd Mueller-Roeber

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Bachelor 17 15%
Student > Master 14 12%
Researcher 13 11%
Student > Doctoral Student 8 7%
Other 17 15%
Unknown 23 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 43%
Biochemistry, Genetics and Molecular Biology 36 31%
Unspecified 2 2%
Immunology and Microbiology 1 <1%
Social Sciences 1 <1%
Other 3 3%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 November 2018.
All research outputs
#2,097,935
of 26,017,215 outputs
Outputs from Methods in molecular biology
#292
of 14,425 outputs
Outputs of similar age
#41,035
of 428,160 outputs
Outputs of similar age from Methods in molecular biology
#47
of 1,092 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,425 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 428,160 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1,092 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.