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Single Cell Biomedicine

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Can the Single Cell Make Biomedicine Different?
  3. Altmetric Badge
    Chapter 2 Automated Single-Cell Analysis and Isolation System: A Paradigm Shift in Cell Screening Methods for Bio-medicines
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    Chapter 3 Single-Cell Non-coding RNA in Embryonic Development
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    Chapter 4 High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications
  6. Altmetric Badge
    Chapter 5 Circulating Tumor Cells: The Importance of Single Cell Analysis
  7. Altmetric Badge
    Chapter 6 Super-Resolution Fluorescence Microscopy for Single Cell Imaging
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    Chapter 7 Single Cell Proteomics for Molecular Targets in Lung Cancer: High-Dimensional Data Acquisition and Analysis
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    Chapter 8 Therapeutic Antibody Discovery in Infectious Diseases Using Single-Cell Analysis
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    Chapter 9 Single Cell Genetics and Epigenetics in Early Embryo: From Oocyte to Blastocyst
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    Chapter 10 The Potential Roles and Advantages of Single Cell Sequencing in the Diagnosis and Treatment of Hematological Malignancies
  12. Altmetric Badge
    Chapter 11 Application of Single Cell Sequencing in Cancer
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    Chapter 12 Emergence of Bias During the Synthesis and Amplification of cDNA for scRNA-seq
  14. Altmetric Badge
    Chapter 13 Detection and Application of RNA Editing in Cancer
  15. Altmetric Badge
    Chapter 14 Is Pooled CRISPR-Screening the Dawn of a New Era for Functional Genomics
  16. Altmetric Badge
    Chapter 15 Roles of Single Cell Systems Biomedicine in Lung Diseases
  17. Altmetric Badge
    Chapter 16 The Significance of Single-Cell Biomedicine in Stem Cells
Attention for Chapter 15: Roles of Single Cell Systems Biomedicine in Lung Diseases
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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2 X users

Citations

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Chapter title
Roles of Single Cell Systems Biomedicine in Lung Diseases
Chapter number 15
Book title
Single Cell Biomedicine
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-981-13-0502-3_15
Pubmed ID
Book ISBNs
978-9-81-130501-6, 978-9-81-130502-3
Authors

Yiming Zeng, Xiaoyang Chen, Xiangdong Wang, Zeng, Yiming, Chen, Xiaoyang, Wang, Xiangdong

Abstract

Single cell sequencing is important to detect the gene heterogeneity between cells, as the part of single-cell systems biology which combines computational science, mathematical modelling and high-throughput technologies with biological function and organization in the cell. We initially arise the question how to integrate the outcomes of single-cell systems biology with clinical phenotype, interpret alterations of single-cell gene sequencing and function in patient response to therapies, and understand the significance of single-cell systems biology in the discovery and development of new molecular diagnostics and therapeutics. The present review furthermore focuses the significance of singe cell systems biology in respiratory diseases and calls the special attention from scientists who are working on single cell systems biology to improve the diagnosis and therapy for patients with lung diseases.

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Researcher 1 14%
Lecturer 1 14%
Student > Doctoral Student 1 14%
Unknown 3 43%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Agricultural and Biological Sciences 1 14%
Unknown 4 57%
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 19 December 2018.
All research outputs
#15,011,732
of 23,092,602 outputs
Outputs from Advances in experimental medicine and biology
#2,285
of 4,976 outputs
Outputs of similar age
#256,086
of 442,643 outputs
Outputs of similar age from Advances in experimental medicine and biology
#92
of 237 outputs
Altmetric has tracked 23,092,602 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 4,976 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 442,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 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 54% of its contemporaries.