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Unconventional Protein Secretion

Overview of attention for book
Cover of 'Unconventional Protein Secretion'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ER to Golgi-Dependent Protein Secretion: The Conventional Pathway
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    Chapter 2 Unconventional Protein Secretion
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    Chapter 3 Unconventional Protein Secretion
  5. Altmetric Badge
    Chapter 4 Chemical Secretory Pathway Modulation in Plant Protoplasts
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    Chapter 5 From Cytosol to the Apoplast: The Hygromycin Phosphotransferase (HYGR) Model in Arabidopsis
  7. Altmetric Badge
    Chapter 6 Unconventional Protein Secretion
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    Chapter 7 Unconventional Protein Secretion
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    Chapter 8 Quantification of a Non-conventional Protein Secretion: The Low-Molecular-Weight FGF-2 Example
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    Chapter 9 Human Primary Keratinocytes as a Tool for the Analysis of Caspase-1-Dependent Unconventional Protein Secretion
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    Chapter 10 A Reporter System to Study Unconventional Secretion of Proteins Avoiding N-Glycosylation in Ustilago maydis
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    Chapter 11 Stress-Inducible Protein 1 (STI1): Extracellular Vesicle Analysis and Quantification
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    Chapter 12 Unconventional Protein Secretion
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    Chapter 13 Unconventional Protein Secretion
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    Chapter 14 Characterization of the Unconventional Secretion of the Ebola Matrix Protein VP40
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    Chapter 15 Role and Characterization of Synuclein-γ Unconventional Protein Secretion in Cancer Cells
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    Chapter 16 Unconventional Protein Secretion
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    Chapter 17 Unconventional Protein Secretion
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    Chapter 18 Isolation of Exosome-Like Vesicles from Plants by Ultracentrifugation on Sucrose/Deuterium Oxide (D2O) Density Cushions
Attention for Chapter 7: Unconventional Protein Secretion
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Chapter title
Unconventional Protein Secretion
Chapter number 7
Book title
Unconventional Protein Secretion
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3804-9_7
Pubmed ID
Book ISBNs
978-1-4939-3802-5, 978-1-4939-3804-9
Authors

Amaral, Margarida D, Farinha, Carlos M, Matos, Paulo, Botelho, Hugo M, Margarida D. Amaral, Carlos M. Farinha, Paulo Matos, Hugo M. Botelho

Editors

Andrea Pompa, Francesca De Marchis

Abstract

Secretory traffic became a topical field because many important cell regulators are plasma membrane proteins (transporters, channels, receptors), being thus key targets in biomedicine and drug discovery. Cystic fibrosis (CF), caused by defects in a single gene encoding the CF transmembrane conductance regulator (CFTR), constitutes the most common of rare diseases and certainly a paradigmatic one.Here we focus on five different approaches that allow biochemical and cellular characterization of CFTR from its co-translational insertion into the ER membrane to its delivery to the plasma membrane.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Other 2 13%
Student > Master 2 13%
Student > Bachelor 1 6%
Professor 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Arts and Humanities 1 6%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Psychology 1 6%
Other 3 19%
Unknown 5 31%
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 26 September 2016.
All research outputs
#17,817,005
of 22,889,074 outputs
Outputs from Methods in molecular biology
#7,243
of 13,133 outputs
Outputs of similar age
#267,821
of 393,722 outputs
Outputs of similar age from Methods in molecular biology
#752
of 1,471 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 393,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.