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Plant Genomics

Overview of attention for book
Cover of 'Plant Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 CRISPR/Cas-Mediated In Planta Gene Targeting
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    Chapter 2 User Guide for the LORE1 Insertion Mutant Resource
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    Chapter 3 Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
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    Chapter 4 The Generation of Doubled Haploid Lines for QTL Mapping
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    Chapter 5 Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
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    Chapter 6 Circular Chromosome Conformation Capture in Plants
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    Chapter 7 Genome-Wide Profiling of Histone Modifications and Histone Variants in Arabidopsis thaliana and Marchantia polymorpha
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    Chapter 8 Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
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    Chapter 9 Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues
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    Chapter 10 Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions
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    Chapter 11 Large-Scale Phenotyping of Root Traits in the Model Legume Lotus japonicus
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    Chapter 12 Long-Term Confocal Imaging of Arabidopsis thaliana Roots for Simultaneous Quantification of Root Growth and Fluorescent Signals
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    Chapter 13 Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
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    Chapter 14 Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid
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    Chapter 15 Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry
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    Chapter 16 Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
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    Chapter 17 Studying Protein–Protein Interactions In Planta Using Advanced Fluorescence Microscopy
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    Chapter 18 Chemiluminescence-Based Detection of Peptide Activity and Peptide-Receptor Binding in Plants
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    Chapter 19 Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
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 (97th percentile)

Mentioned by

blogs
1 blog
twitter
33 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Plant Genomics
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7003-2
ISBNs
978-1-4939-7001-8, 978-1-4939-7003-2
Editors

Wolfgang Busch

Twitter Demographics

The data shown below were collected from the profiles of 33 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 5%
Researcher 1 5%
Unknown 18 90%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 10%
Unknown 18 90%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 08 May 2020.
All research outputs
#874,921
of 16,148,301 outputs
Outputs from Methods in molecular biology
#82
of 9,346 outputs
Outputs of similar age
#24,237
of 268,509 outputs
Outputs of similar age from Methods in molecular biology
#1
of 36 outputs
Altmetric has tracked 16,148,301 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,346 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 268,509 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 36 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 97% of its contemporaries.