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Axon Regeneration

Overview of attention for book
Cover of 'Axon Regeneration'

Table of Contents

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    Book Overview
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    Chapter 7 Epigenomic Profiling of Dorsal Root Ganglia upon Regenerative and Non-regenerative Axonal Injury.
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    Chapter 15 Rapid Testing of Gene Function in Axonal Regeneration After Spinal Cord Injury Using Larval Zebrafish
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    Chapter 16 Translating Ribosome Affinity Purification (TRAP) and Bioinformatic RNA-Seq Analysis in Post-metamorphic Xenopus laevis.
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    Chapter 18 Profiling Dynamic Changes in DNA Accessibility During Axon Regeneration After Optic Nerve Crush in Adult Zebrafish.
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    Chapter 22 Drosophila Laser Axotomy Injury Model to Investigate RNA Repair and Splicing in Axon Regeneration
Attention for Chapter: Quantitative Proteomics of Nervous System Regeneration: From Sample Preparation to Functional Data Analyses.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Chapter title
Quantitative Proteomics of Nervous System Regeneration: From Sample Preparation to Functional Data Analyses.
Book title
Axon Regeneration
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3012-9_19
Pubmed ID
36881310
Book ISBNs
978-1-07-163011-2, 978-1-07-163012-9
Authors

Lee-Liu, Dasfne, Sun, Liangliang

Abstract

Mammals have a limited regenerative capacity, especially of the central nervous system. Consequently, any traumatic injury or neurodegenerative disease results in irreversible damage. An important approach to finding strategies to promote regeneration in mammals has been the study of regenerative organisms like Xenopus, the axolotl, and teleost fish. High-throughput technologies like RNA-Seq and quantitative proteomics are starting to provide valuable insight into the molecular mechanisms that drive nervous system regeneration in these organisms. In this chapter, we present a detailed protocol for performing iTRAQ proteomics that can be applied to the analysis of nervous system samples, using Xenopus laevis as an example. The quantitative proteomics protocol and directions for performing functional enrichment data analyses of gene lists (e.g., differentially abundant proteins from a proteomic study, or any type of high-throughput analysis) are aimed at the general bench biologist and do not require previous programming knowledge.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Neuroscience 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 March 2023.
All research outputs
#8,128,536
of 24,380,426 outputs
Outputs from Methods in molecular biology
#2,510
of 13,717 outputs
Outputs of similar age
#149,475
of 450,261 outputs
Outputs of similar age from Methods in molecular biology
#70
of 703 outputs
Altmetric has tracked 24,380,426 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,717 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 75% 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 450,261 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 64% of its contemporaries.
We're also able to compare this research output to 703 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.

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