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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
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    Chapter 2 BD Rhapsody™ Single-Cell Analysis System Workflow: From Sample to Multimodal Single-Cell Sequencing Data
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    Chapter 3 Profiling Transcriptional Heterogeneity with Seq-Well S3: A Low-Cost, Portable, High-Fidelity Platform for Massively Parallel Single-Cell RNA-Seq
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    Chapter 4 A MATQ-seq-Based Protocol for Single-Cell RNA-seq in Bacteria
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    Chapter 5 Full-Length Single-Cell RNA-Sequencing with FLASH-seq
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    Chapter 6 Plant Single-Cell/Nucleus RNA-seq Workflow
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    Chapter 7 Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell Sorting
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    Chapter 8 Tissue RNA Integrity in Visium Spatial Protocol (Fresh Frozen Samples)
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    Chapter 9 Single-Cell RNAseq Data QC and Preprocessing
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    Chapter 10 Single-Cell RNAseq Complexity Reduction
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    Chapter 11 Functional-Feature-Based Data Reduction Using Sparsely Connected Autoencoders
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    Chapter 12 Single-Cell RNAseq Clustering
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    Chapter 13 Identifying Gene Markers Associated with Cell Subpopulations
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    Chapter 14 A Guide to Trajectory Inference and RNA Velocity
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    Chapter 15 Integration of scATAC-Seq with scRNA-Seq Data
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    Chapter 16 Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
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    Chapter 17 Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow
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    Chapter 18 Profiling RNA Editing in Single Cells
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    Chapter 19 Practical Considerations for Complex Tissue Dissociation for Single-Cell Transcriptomics
Attention for Chapter 16: Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
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Chapter title
Using “Galaxy-rCASC”: A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis
Chapter number 16
Book title
Single Cell Transcriptomics
Published in
Methods in molecular biology, December 2022
DOI 10.1007/978-1-0716-2756-3_16
Pubmed ID
36495458
Book ISBNs
978-1-07-162755-6, 978-1-07-162756-3
Authors

Mandreoli, Pietro, Alessandri, Luca, Calogero, Raffaele A., Tangaro, Marco Antonio, Zambelli, Federico, Pietro Mandreoli, Luca Alessandri, Raffaele A. Calogero, Marco Antonio Tangaro, Federico Zambelli

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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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
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 13 December 2022.
All research outputs
#18,825,900
of 23,332,901 outputs
Outputs from Methods in molecular biology
#8,106
of 13,337 outputs
Outputs of similar age
#299,795
of 438,107 outputs
Outputs of similar age from Methods in molecular biology
#258
of 386 outputs
Altmetric has tracked 23,332,901 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 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 386 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.

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