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New Insight into Neurodegeneration: the Role of Proteomics

Overview of attention for article published in Molecular Neurobiology, December 2013
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Title
New Insight into Neurodegeneration: the Role of Proteomics
Published in
Molecular Neurobiology, December 2013
DOI 10.1007/s12035-013-8590-8
Pubmed ID
Authors

Ramavati Pal, Guido Alves, Jan Petter Larsen, Simon Geir Møller

Abstract

Recent advances within the field of proteomics, including both upstream and downstream protocols, have fuelled a transition from simple protein identification to functional analysis. A battery of proteomics approaches is now being employed for the analysis of protein expression levels, the monitoring of cellular activities and for gaining an increased understanding into biochemical pathways. Combined, these approaches are changing the way we study disease by allowing accurate and targeted, large scale protein analysis, which will provide invaluable insight into disease pathogenesis. Neurodegenerative disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), prion disease, and other diseases that affect the neuromuscular system, are a leading cause of disability in the aging population. There are no effective intervention strategies for these disorders and diagnosis is challenging as it relies primarily on clinical symptomatic features, which often overlap at early stages of disease. There is, therefore, an urgent need to develop reliable biomarkers to improve early and specific diagnosis, to track disease progression, to measure molecular responses towards treatment regimes and ultimately devise new therapeutic strategies. To accomplish this, a better understanding of disease mechanisms is needed. In this review we summarize recent advances in the field of proteomics applicable to neurodegenerative disorders, and how these advances are fueling our understanding, diagnosis, and treatment of these complex disorders.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 11 16%
Student > Master 11 16%
Professor > Associate Professor 8 12%
Student > Bachelor 4 6%
Other 11 16%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 29%
Neuroscience 10 15%
Biochemistry, Genetics and Molecular Biology 7 10%
Medicine and Dentistry 6 9%
Psychology 3 4%
Other 12 18%
Unknown 10 15%
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 27 January 2015.
All research outputs
#20,251,039
of 22,780,165 outputs
Outputs from Molecular Neurobiology
#2,780
of 3,442 outputs
Outputs of similar age
#267,138
of 306,955 outputs
Outputs of similar age from Molecular Neurobiology
#18
of 25 outputs
Altmetric has tracked 22,780,165 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 3,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 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.