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Plant Functional Genomics

Overview of attention for book
Plant Functional Genomics
Springer New York

Table of Contents

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    Book Overview
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    Chapter 1 Epigenome Profiling of Specific Plant Cell Types Using a Streamlined INTACT Protocol and ChIP-seq.
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    Chapter 2 Whole-genome DNA methylation profiling with nucleotide resolution.
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    Chapter 3 High-Throughput Nuclease-Mediated Probing of RNA Secondary Structure in Plant Transcriptomes
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    Chapter 4 Genome-Wide Mapping of DNase I Hypersensitive Sites in Plants.
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    Chapter 5 Characterization of In Vivo DNA-Binding Events of Plant Transcription Factors by ChIP-seq: Experimental Protocol and Computational Analysis.
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    Chapter 6 Identification of Direct Targets of Plant Transcription Factors Using the GR Fusion Technique.
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    Chapter 7 Ribosome profiling: a tool for quantitative evaluation of dynamics in mRNA translation.
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    Chapter 8 Tissue-Specific Gene Expression Profiling by Cell Sorting
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    Chapter 9 Translating Ribosome Affinity Purification (TRAP) Followed by RNA Sequencing Technology (TRAP-SEQ) for Quantitative Assessment of Plant Translatomes.
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    Chapter 10 Rapid Immunopurification of Ribonucleoprotein Complexes of Plants
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    Chapter 11 Metabolomic profiling of plant tissues.
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    Chapter 12 Targeted Plant Genome Editing via the CRISPR/Cas9 Technology.
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    Chapter 13 QTL Mapping Using High-Throughput Sequencing
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    Chapter 14 Quantitating Plant MicroRNA-Mediated Target Repression Using a Dual-Luciferase Transient Expression System.
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    Chapter 15 Persistent virus-induced gene silencing in asymptomatic accessions of Arabidopsis.
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    Chapter 16 A User’s Guide to the Arabidopsis T-DNA Insertion Mutant Collections
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    Chapter 17 Genome-Wide Association Mapping in Plants Exemplified for Root Growth in Arabidopsis thaliana
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    Chapter 18 Tilling by sequencing.
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    Chapter 19 SHOREmap v3.0: Fast and Accurate Identification of Causal Mutations from Forward Genetic Screens
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    Chapter 20 Software-Assisted Stacking of Gene Modules Using GoldenBraid 2.0 DNA-Assembly Framework.
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    Chapter 21 Ligation-Independent Cloning for Plant Research
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    Chapter 22 Gene Functional Analysis Using Protoplast Transient Assays
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    Chapter 23 Descriptive vs. Mechanistic Network Models in Plant Development in the Post-Genomic Era.
  25. Altmetric Badge
    Chapter 24 Analysis and visualization of RNA-Seq expression data using RStudio, Bioconductor, and Integrated Genome Browser
  26. Altmetric Badge
    Chapter 25 Constructing simple biological networks for understanding complex high-throughput data in plants.
Attention for Chapter 11: Metabolomic profiling of plant tissues.
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Chapter title
Metabolomic profiling of plant tissues.
Chapter number 11
Book title
Plant Functional Genomics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2444-8_11
Pubmed ID
Book ISBNs
978-1-4939-2443-1, 978-1-4939-2444-8
Authors

José L Rambla, M P López-Gresa, J M Bellés, Antonio Granell, José L. Rambla, M. P. López-Gresa, J. M. Bellés, Rambla, José L., López-Gresa, M. P., Bellés, J. M., Granell, Antonio

Abstract

Metabolomics is a powerful discipline aimed at a comprehensive and global analysis of the metabolites present in a cell, tissue, or organism, and to which increasing attention has been paid in the last few years. Given the high diversity in physical and chemical properties of plant metabolites, not a single method is able to analyze them all.Here we describe two techniques for the profiling of two quite different groups of metabolites: polar and semi-polar secondary metabolites, including many of those involved in plant response to biotic and abiotic stress, and volatile compounds, which include those responsible of most of our perception of food flavor. According to these techniques, polar and semi-polar metabolites are extracted in methanol, separated by liquid chromatography (UPLC), and detected by a UV-VIS detector (PDA) and a time-of-flight (ToF) mass spectrometer. Volatile compounds, on the other hand, are extracted by headspace solid phase microextraction (HS-SPME), and separated and detected by gas chromatography coupled to mass spectrometry (GC-MS).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Master 6 19%
Professor > Associate Professor 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 38%
Biochemistry, Genetics and Molecular Biology 8 25%
Environmental Science 1 3%
Economics, Econometrics and Finance 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 8 25%
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 17 December 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Methods in molecular biology
#7,903
of 13,110 outputs
Outputs of similar age
#255,771
of 353,053 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,110 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 353,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.