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Subcellular Proteomics

Overview of attention for book
Subcellular Proteomics
Springer Netherlands

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Keynotes on Membrane Proteomics
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    Chapter 2 Two-Dimensional BAC/SDS-PAGE for Membrane Proteomics
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    Chapter 3 Microparticles: A New Tool for Plasma Membrane Sub-cellular Proteomic
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    Chapter 4 Lipid Raft Proteomics: More than Just Detergent-Resistant Membranes
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    Chapter 5 Organelle proteome variation among different cell types: lessons from nuclear membrane proteins.
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    Chapter 6 Synaptosome proteomics.
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    Chapter 7 Proteomic Analysis of Secreted Exosomes
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    Chapter 8 From Protein—Protein Complexes to Interactomics
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    Chapter 9 Supramolecular signalling complexes in the nervous system.
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    Chapter 10 Protein Networks and Complexes in Photoreceptor Cilia
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    Chapter 11 Systems Biology and the Reconstruction of the Cell: From Molecular Components to Integral Function
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    Chapter 12 Automated, systematic determination of protein subcellular location using fluorescence microscopy.
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    Chapter 13 Systems Biology of the Endoplasmic Reticulum Stress Response
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    Chapter 14 Systems Nanobiology: From Quantitative Single Molecule Biophysics to Microfluidic-Based Single Cell Analysis
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    Chapter 15 Biophotonics Applied to Proteomics
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    Chapter 16 Differential Epitope Identification of Antibodies Against Intracellular Domains of Alzheimer's Amyloid Precursor Protein Using High Resolution Affinity-mass Spectrometry
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    Chapter 17 LC-MALDI MS and MS/MS — An Efficient Tool in Proteome Analysis
Attention for Chapter 6: Synaptosome proteomics.
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 Wikipedia pages

Citations

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Readers on

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193 Mendeley
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Chapter title
Synaptosome proteomics.
Chapter number 6
Book title
Subcellular Proteomics
Published in
Sub cellular biochemistry, January 2007
DOI 10.1007/978-1-4020-5943-8_6
Pubmed ID
Book ISBNs
978-1-4020-5942-1, 978-1-4020-5943-8
Authors

Bai, Fengju, Witzmann, Frank A, Fengju Bai, Frank A. Witzmann, Witzmann, Frank A.

Abstract

Our knowledge of the complex synaptic proteome and its relationship to physiological or pathological conditions is rapidly expanding. This has been greatly accelerated by the application of various evolving proteomic techniques, enabling more efficient protein resolution, more accurate protein identification, and more comprehensive characterization of proteins undergoing quantitative and qualitative changes. More recently, the combination of the classical subcellular fractionation techniques for the isolation of synaptosomes from the brain with the various proteomic analyses has facilitated this effort. This has resulted from the enrichment of many low abundant proteins comprising the fundamental structure and molecular machinery of brain neurotransmission and neuroplasticity. The analysis of various subproteomes obtained from the synapse, such as synaptic vesicles, synaptic membranes, presynaptic particles, synaptodendrosomes, and postsynaptic densities (PSD) holds great promise for improving our understanding of the temporal and spatial processes that coordinate synaptic proteins in closely related complexes under both normal and diseased states. This chapter will summarize a selection of recent studies that have drawn upon established and emerging proteomic technologies, along with fractionation techniques that are essential to the isolation and analysis of specific synaptic components, in an effort to understand the complexity and plasticity of the synapse proteome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Chile 1 <1%
France 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 185 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 26%
Student > Bachelor 28 15%
Student > Master 25 13%
Researcher 21 11%
Student > Doctoral Student 11 6%
Other 26 13%
Unknown 31 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 32%
Neuroscience 37 19%
Biochemistry, Genetics and Molecular Biology 25 13%
Medicine and Dentistry 11 6%
Chemistry 5 3%
Other 21 11%
Unknown 32 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 May 2024.
All research outputs
#7,229,289
of 23,577,654 outputs
Outputs from Sub cellular biochemistry
#99
of 365 outputs
Outputs of similar age
#40,928
of 159,449 outputs
Outputs of similar age from Sub cellular biochemistry
#3
of 6 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 71% 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 159,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.