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Cell-Cell Interactions

Overview of attention for book
Cover of 'Cell-Cell Interactions'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Proteomics Analysis of Contact-Initiated Eph Receptor–Ephrin Signaling
  3. Altmetric Badge
    Chapter 2 Control of Vascular Tube Morphogenesis and Maturation in 3D Extracellular Matrices by Endothelial Cells and Pericytes
  4. Altmetric Badge
    Chapter 3 Analyzing Cell–Cell Interactions in 3-Dimensional Adhesion Assays
  5. Altmetric Badge
    Chapter 4 Production of Spontaneously Beating Neonatal Rat Heart Tissue for Calcium and Contractile Studies
  6. Altmetric Badge
    Chapter 5 Paracrine Communication Between Mechanically Stretched Myocytes and Fibroblasts
  7. Altmetric Badge
    Chapter 6 Assessing Blood–Brain Barrier Function Using In Vitro Assays
  8. Altmetric Badge
    Chapter 7 Methods to Assess Tissue Permeability
  9. Altmetric Badge
    Chapter 8 In Vivo Quantification of Metastatic Tumor Cell Adhesion in the Pulmonary Microvasculature
  10. Altmetric Badge
    Chapter 9 Cell Membrane Vesicles as a Tool for the Study of Direct Epithelial–Stromal Interaction: Lessons from CD147
  11. Altmetric Badge
    Chapter 10 Microencapsulation of Stem Cells to Study Cellular Interactions
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    Chapter 11 Cell-Surface Protein–Protein Interaction Analysis with Time-Resolved FRET and Snap-Tag Technologies
  13. Altmetric Badge
    Chapter 12 Single Cell Analysis of Lipid Rafts
  14. Altmetric Badge
    Chapter 13 Cell-Cell Interactions
  15. Altmetric Badge
    Chapter 14 Measuring Cell-Cell Tugging Forces Using Bowtie-Patterned mPADs (Microarray Post Detectors).
  16. Altmetric Badge
    Chapter 15 Generation and Analysis of Biosensors to Measure Mechanical Forces Within Cells
  17. Altmetric Badge
    Chapter 16 Proteomic Analysis of the Left Ventricle Post-myocardial Infarction to Identify In Vivo Candidate Matrix Metalloproteinase Substrates
Attention for Chapter 15: Generation and Analysis of Biosensors to Measure Mechanical Forces Within Cells
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Chapter title
Generation and Analysis of Biosensors to Measure Mechanical Forces Within Cells
Chapter number 15
Book title
Cell-Cell Interactions
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-604-7_15
Pubmed ID
Book ISBNs
978-1-62703-603-0, 978-1-62703-604-7
Authors

Katharina Austen, Carleen Kluger, Andrea Freikamp, Anna Chrostek-Grashoff, Carsten Grashoff

Abstract

The inability to measure mechanical forces within cells has been limiting our understanding of how mechanical information is processed on the molecular level. In this chapter, we describe a method that allows the analysis of force propagation across distinct proteins within living cells using Förster resonance energy transfer (FRET)-based biosensors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 7 22%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Professor 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 28%
Agricultural and Biological Sciences 5 16%
Engineering 3 9%
Physics and Astronomy 2 6%
Business, Management and Accounting 1 3%
Other 4 13%
Unknown 8 25%
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 24 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from Methods in molecular biology
#9,863
of 13,089 outputs
Outputs of similar age
#248,900
of 280,889 outputs
Outputs of similar age from Methods in molecular biology
#298
of 340 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 280,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.