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Single-cell Sequencing and Methylation

Overview of attention for book
Cover of 'Single-cell Sequencing and Methylation'

Table of Contents

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    Book Overview
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    Chapter 1 Understanding Diseases from Single-Cell Sequencing and Methylation
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    Chapter 2 Methods for Single-Cell Isolation and Preparation
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    Chapter 3 Single-Cell Sequencing of T cell Receptors: A Perspective on the Technological Development and Translational Application
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    Chapter 4 DNA Methylation in Pulmonary Fibrosis
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    Chapter 5 Methylation of Inflammatory Cells in Lung Diseases
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    Chapter 6 Research Advances on DNA Methylation in Idiopathic Pulmonary Fibrosis
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    Chapter 7 DNA Methylation in Chronic Obstructive Pulmonary Disease
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    Chapter 8 The Role of RASSF1 Methylation in Lung Carcinoma
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    Chapter 9 Single Cell Sequencing: A New Dimension in Cancer Diagnosis and Treatment
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    Chapter 10 The Role of Methylation in the CpG Island of the ARHI Promoter Region in Cancers
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    Chapter 11 Clinical Significance of P16 Gene Methylation in Lung Cancer
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    Chapter 12 Application of Single-Cell RNA Sequencing in Pancreatic Cancer and the Endocrine Pancreas.
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    Chapter 13 Single-Cell Sequencing in Genitourinary Malignancies
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    Chapter 14 PI3K Isoform-Selective Inhibitors in Cancer
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    Chapter 15 Single Cell Sequencing in Cancer Diagnostics
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    Chapter 16 Single Cell RNA Sequencing in Human Disease: Renal, Pancreatic, and Viral Diseases
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    Chapter 17 Single-Cell Sequencing in Human Genital Infections
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    Chapter 18 Emerging Strategies for Therapeutic Antibody Discovery from Human B Cells
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    Chapter 19 Values of Single-Cell RNA Sequencing in Development of Cerebral Cortex
Attention for Chapter 2: Methods for Single-Cell Isolation and Preparation
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Chapter title
Methods for Single-Cell Isolation and Preparation
Chapter number 2
Book title
Single-cell Sequencing and Methylation
Published in
Advances in experimental medicine and biology, September 2020
DOI 10.1007/978-981-15-4494-1_2
Pubmed ID
Book ISBNs
978-9-81-154493-4, 978-9-81-154494-1
Authors

Daniel Pensold, Geraldine Zimmer-Bensch

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Bachelor 7 16%
Researcher 5 11%
Unspecified 4 9%
Student > Master 3 7%
Other 5 11%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 18%
Unspecified 4 9%
Agricultural and Biological Sciences 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Immunology and Microbiology 2 5%
Other 11 25%
Unknown 14 32%
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 20 September 2020.
All research outputs
#15,098,445
of 23,243,271 outputs
Outputs from Advances in experimental medicine and biology
#2,296
of 4,989 outputs
Outputs of similar age
#240,466
of 408,325 outputs
Outputs of similar age from Advances in experimental medicine and biology
#37
of 87 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,989 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 49th percentile – i.e., 49% 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 408,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.