↓ Skip to main content

Flower Development

Overview of attention for book
Cover of 'Flower Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flower Development in Arabidopsis: There Is More to It Than Learning Your ABCs
  3. Altmetric Badge
    Chapter 2 Flower development in the asterid lineage.
  4. Altmetric Badge
    Chapter 3 Grass flower development.
  5. Altmetric Badge
    Chapter 4 Flower diversity and angiosperm diversification.
  6. Altmetric Badge
    Chapter 5 Flower development: open questions and future directions.
  7. Altmetric Badge
    Chapter 6 Genetic Screens for Floral Mutants in Arabidopsis thaliana: Enhancers and Suppressors
  8. Altmetric Badge
    Chapter 7 Genetic and phenotypic analysis of shoot apical and floral meristem development.
  9. Altmetric Badge
    Chapter 8 Genetic and Phenotypic Analyses of Petal Development in Arabidopsis
  10. Altmetric Badge
    Chapter 9 Cell Biological Analyses of Anther Morphogenesis and Pollen Viability in Arabidopsis and Rice
  11. Altmetric Badge
    Chapter 10 Molecular Cell Biology of Male Meiotic Chromosomes and Isolation of Male Meiocytes in Arabidopsis thaliana
  12. Altmetric Badge
    Chapter 11 Genetic and Phenotypic Analyses of Carpel Development in Arabidopsis
  13. Altmetric Badge
    Chapter 12 Microscopic Analysis of Arabidopsis Ovules
  14. Altmetric Badge
    Chapter 13 Scanning Electron Microscopy Analysis of Floral Development
  15. Altmetric Badge
    Chapter 14 Detection of mRNA Expression Patterns by Nonradioactive In Situ Hybridization on Histological Sections of Floral Tissue
  16. Altmetric Badge
    Chapter 15 The GUS Reporter System in Flower Development Studies
  17. Altmetric Badge
    Chapter 16 A Floral Induction System for the Study of Early Arabidopsis Flower Development
  18. Altmetric Badge
    Chapter 17 Fluorescence activated cell sorting of shoot apical meristem cell types.
  19. Altmetric Badge
    Chapter 18 Translating Ribosome Affinity Purification (TRAP) for Cell-Specific Translation Profiling in Developing Flowers
  20. Altmetric Badge
    Chapter 19 Laser-assisted microdissection applied to floral tissues.
  21. Altmetric Badge
    Chapter 20 Identification of Arabidopsis Knockout Lines for Genes of Interest
  22. Altmetric Badge
    Chapter 21 Gene Expression Analysis by Quantitative Real-time PCR for Floral Tissues
  23. Altmetric Badge
    Chapter 22 Misexpression Approaches for the Manipulation of Flower Development
  24. Altmetric Badge
    Chapter 23 Next-Generation Sequencing Applied to Flower Development: RNA-Seq.
  25. Altmetric Badge
    Chapter 24 Next-Generation Sequencing Applied to Flower Development: ChIP-Seq
  26. Altmetric Badge
    Chapter 25 Live-imaging of the Arabidopsis inflorescence meristem.
  27. Altmetric Badge
    Chapter 26 Gene regulatory network models for floral organ determination.
Attention for Chapter 23: Next-Generation Sequencing Applied to Flower Development: RNA-Seq.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
14 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Next-Generation Sequencing Applied to Flower Development: RNA-Seq.
Chapter number 23
Book title
Flower Development
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4614-9408-9_23
Pubmed ID
Book ISBNs
978-1-4614-9407-2, 978-1-4614-9408-9
Authors

Jun He, Yuling Jiao, He, Jun, Jiao, Yuling

Editors

José Luis Riechmann, Frank Wellmer

Abstract

Genome-wide study of gene expression, or transcriptome profiling, is critical for our understanding of biological functions, including developmental processes. Recent breakthroughs in high-throughput sequencing technologies have revolutionized gene expression profiling to study the transcriptome at the nucleotide level, which is known as RNA-seq. RNA-seq, also called "whole transcriptome shotgun sequencing," uses next-generation sequencing technologies to sequence cDNA in order to infer a sample's RNA content. Here we describe a detailed bench-ready protocol to generate RNA-seq libraries for high-throughput single-end or pair-end sequencing compatible with the Illumina sequencing platform.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Master 2 14%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Professor 1 7%
Other 3 21%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 43%
Biochemistry, Genetics and Molecular Biology 3 21%
Engineering 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 January 2014.
All research outputs
#14,187,012
of 22,739,983 outputs
Outputs from Methods in molecular biology
#4,167
of 13,087 outputs
Outputs of similar age
#173,616
of 305,211 outputs
Outputs of similar age from Methods in molecular biology
#166
of 594 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,087 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 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 69% of its contemporaries.