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Overview of attention for book
Cover of 'Caveolae'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Selective Visualization of Caveolae by TEM Using APEX2
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    Chapter 2 Freeze-Fracture Replica Immunolabeling of Cryopreserved Membrane Compartments, Cultured Cells and Tissues
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    Chapter 3 Analysis of Caveolin in Primary Cilia
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    Chapter 4 Method for Efficient Observation of Caveolin-1 in Plasma Membrane by Microscopy Imaging Analysis
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    Chapter 5 Quantitative Image Analysis of the Spatial Organization and Mobility of Caveolin Aggregates at the Plasma Membrane
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    Chapter 6 Spatiotemporal Analysis of Caveolae Dynamics Using Total Internal Reflection Fluorescence Microscopy
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    Chapter 7 Live-Cell FRET Imaging of Phosphorylation-Dependent Caveolin-1 Switch
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    Chapter 8 GPMVs as a Tool to Study Caveolin-Interacting Partners
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    Chapter 9 Biotin Proximity Labeling to Identify Protein–Protein Interactions for Cavin1
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    Chapter 10 Investigation of Novel Cavin-1/Suppressor of Cytokine Signaling 3 (SOCS3) Interactions by Coimmunoprecipitation, Peptide Pull-Down, and Peptide Array Overlay Approaches
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    Chapter 11 Analysis of Protein and Lipid Interactions Using Liposome Co-sedimentation Assays
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    Chapter 12 Liposome Binding Assay to Characterize the Structure and Function of Cavin Proteins
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    Chapter 13 Preparation of Caveolin-1 for NMR Spectroscopy Experiments
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    Chapter 14 Tagging and Deleting of Endogenous Caveolar Components Using CRISPR/Cas9 Technology
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    Chapter 15 Pulling of Tethers from the Cell Plasma Membrane Using Optical Tweezers
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    Chapter 16 Live Confocal Imaging of Zebrafish Notochord Cells Under Mechanical Stress In Vivo
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    Chapter 17 Study of Caveolae-Dependent Mechanoprotection in Human Muscle Cells Using Micropatterning and Live-Cell Microscopy
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    Chapter 18 Immunofluorescence-Based Analysis of Caveolin-3 in the Diagnostic Management of Neuromuscular Diseases
Overall attention for this book and its chapters
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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 (90th percentile)

Mentioned by

34 tweeters
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Published by
Methods in molecular biology, January 2020
DOI 10.1007/978-1-0716-0732-9
978-1-07-160731-2, 978-1-07-160732-9

Cedric M. Blouin

Twitter Demographics

The data shown below were collected from the profiles of 34 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 01 August 2020.
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Altmetric has tracked 15,885,992 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,274 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 99% 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 247,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them