↓ Skip to main content
What is this page? Embed badge

Single Cell Transcriptomics

Overview of attention for book
Cover of 'Single Cell Transcriptomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Guidance on Processing the 10x Genomics Single Cell Gene Expression Assay
  3. Altmetric Badge
    Chapter 2 BD Rhapsody™ Single-Cell Analysis System Workflow: From Sample to Multimodal Single-Cell Sequencing Data
  4. Altmetric Badge
    Chapter 3 Profiling Transcriptional Heterogeneity with Seq-Well S3: A Low-Cost, Portable, High-Fidelity Platform for Massively Parallel Single-Cell RNA-Seq
  5. Altmetric Badge
    Chapter 4 A MATQ-seq-Based Protocol for Single-Cell RNA-seq in Bacteria
  6. Altmetric Badge
    Chapter 5 Full-Length Single-Cell RNA-Sequencing with FLASH-seq
  7. Altmetric Badge
    Chapter 6 Plant Single-Cell/Nucleus RNA-seq Workflow
  8. Altmetric Badge
    Chapter 7 Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell Sorting
  9. Altmetric Badge
    Chapter 8 Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples)
  10. Altmetric Badge
    Chapter 9 Single-Cell RNAseq Data QC and Preprocessing
  11. Altmetric Badge
    Chapter 10 Single-Cell RNAseq Complexity Reduction
  12. Altmetric Badge
    Chapter 11 Functional-Feature-Based Data Reduction Using Sparsely Connected Autoencoders
  13. Altmetric Badge
    Chapter 12 Single-Cell RNAseq Clustering
  14. Altmetric Badge
    Chapter 13 Identifying Gene Markers Associated with Cell Subpopulations
  15. Altmetric Badge
    Chapter 14 A Guide to Trajectory Inference and RNA Velocity
  16. Altmetric Badge
    Chapter 15 Integration of scATAC-Seq with scRNA-Seq Data
  17. Altmetric Badge
    Chapter 16 Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
  18. Altmetric Badge
    Chapter 17 Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
  19. Altmetric Badge
    Chapter 18 Profiling RNA Editing in Single Cells
  20. Altmetric Badge
    Chapter 19 Practical Considerations for Complex Tissue Dissociation for Single-Cell Transcriptomics
Attention for Chapter 5: Full-Length Single-Cell RNA-Sequencing with FLASH-seq
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
Summary X Dimensions citations
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
Full-Length Single-Cell RNA-Sequencing with FLASH-seq
Chapter number 5
Book title
Single Cell Transcriptomics
Published in
Methods in molecular biology, December 2022
DOI 10.1007/978-1-0716-2756-3_5
Pubmed ID
36495447
Book ISBNs
978-1-07-162755-6, 978-1-07-162756-3
Authors

Hahaut, Vincent, Picelli, Simone, Vincent Hahaut, Simone Picelli

View on publisher site
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Unknown 8 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 8%
Agricultural and Biological Sciences 1 8%
Neuroscience 1 8%
Medicine and Dentistry 1 8%
Unknown 8 67%
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 11 December 2022.
All research outputs
#15,692,595
of 23,318,744 outputs
Outputs from Methods in molecular biology
#5,494
of 13,323 outputs
Outputs of similar age
#233,076
of 437,341 outputs
Outputs of similar age from Methods in molecular biology
#157
of 375 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,323 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 437,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 375 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.