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Single-Cell Analysis

Overview of attention for book
Cover of 'Single-Cell Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Why Analyze Single Cells?
  3. Altmetric Badge
    Chapter 2 Flow Cytometry and Microscopy as Means of Studying Single Cells: A Short Introductional Overview
  4. Altmetric Badge
    Chapter 3 Identification of Enzyme-Converted Peptide Products from Single Cells Using Capillary Electrophoresis and Liquid Chromatography-Mass Spectrometry
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    Chapter 4 Laser Capture Microdissection for Gene Expression Analysis of Specific Cell Populations in Single Blastocysts
  6. Altmetric Badge
    Chapter 5 Single-Cell Culture in Microwells
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    Chapter 6 Isodielectric Separation and Analysis of Cells
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    Chapter 7 Single Cell Electroporation Using Microfluidic Devices
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    Chapter 8 Perfusion Culture of Mammalian Cells in a Microfluidic Channel with a Built-In Pillar Array
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    Chapter 9 Padlock Probes and Rolling Circle Amplification for Detection of Repeats and Single-Copy Genes in the Single-Cell Comet Assay
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    Chapter 10 Droplet microfluidics for single-cell analysis.
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    Chapter 11 Screening of Antigen-Specific Antibody-Secreting Cells
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    Chapter 12 Analysis of Single Eukaryotic Cells Using Raman Tweezers
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    Chapter 13 Single-Cell Microinjection Technologies
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    Chapter 14 Ultrasonic Manipulation of Single Cells
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    Chapter 15 Expanding the Horizons for Single-Cell Applications on Lab-on-a-Chip Devices
  17. Altmetric Badge
    Chapter 16 Analytical Technologies for Integrated Single-Cell Analysis of Human Immune Responses
Attention for Chapter 1: Introduction: Why Analyze Single Cells?
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Readers on

mendeley
45 Mendeley
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Chapter title
Introduction: Why Analyze Single Cells?
Chapter number 1
Book title
Single-Cell Analysis
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-567-1_1
Pubmed ID
Book ISBNs
978-1-61779-566-4, 978-1-61779-567-1
Authors

Dino Di Carlo, Henry Tat Kwong Tse, Daniel R. Gossett, Di Carlo, Dino, Tse, Henry Tat Kwong, Gossett, Daniel R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Student > Master 8 18%
Student > Bachelor 6 13%
Professor > Associate Professor 5 11%
Researcher 5 11%
Other 1 2%
Unknown 4 9%
Readers by discipline Count As %
Engineering 11 24%
Agricultural and Biological Sciences 10 22%
Biochemistry, Genetics and Molecular Biology 7 16%
Chemistry 4 9%
Medicine and Dentistry 2 4%
Other 4 9%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 May 2022.
All research outputs
#3,780,251
of 23,031,582 outputs
Outputs from Methods in molecular biology
#946
of 13,177 outputs
Outputs of similar age
#31,831
of 245,508 outputs
Outputs of similar age from Methods in molecular biology
#57
of 477 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,177 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% 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 245,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.