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Cerebrospinal Fluid Biomarker Candidates for Parkinsonian Disorders

Overview of attention for article published in Frontiers in Neurology, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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9 X users

Citations

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35 Dimensions

Readers on

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83 Mendeley
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1 CiteULike
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Title
Cerebrospinal Fluid Biomarker Candidates for Parkinsonian Disorders
Published in
Frontiers in Neurology, January 2013
DOI 10.3389/fneur.2012.00187
Pubmed ID
Authors

Radu Constantinescu, Stefania Mondello

Abstract

The Parkinsonian disorders are a large group of neurodegenerative diseases including idiopathic Parkinson's disease (PD) and atypical Parkinsonian disorders (APD), such as multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, and dementia with Lewy bodies. The etiology of these disorders is not known although it is considered to be a combination of genetic and environmental factors. One of the greatest obstacles for developing efficacious disease-modifying treatment strategies is the lack of biomarkers. Reliable biomarkers are needed for early and accurate diagnosis, to measure disease progression, and response to therapy. In this review several of the most promising cerebrospinal biomarker candidates are discussed. Alpha-synuclein seems to be intimately involved in the pathogenesis of synucleinopathies and its levels can be measured in the cerebrospinal fluid and in plasma. In a similar way, tau protein accumulation seems to be involved in the pathogenesis of tauopathies. Urate, a potent antioxidant, seems to be associated to the risk of developing PD and with its progression. Neurofilament light chain levels are increased in APD compared with PD and healthy controls. The new "omics" techniques are potent tools offering new insights in the patho-etiology of these disorders. Some of the difficulties encountered in developing biomarkers are discussed together with future perspectives.

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X Demographics

The data shown below were collected from the profiles of 9 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Italy 1 1%
Portugal 1 1%
Spain 1 1%
India 1 1%
Unknown 77 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 12 14%
Student > Bachelor 8 10%
Other 6 7%
Student > Master 6 7%
Other 17 20%
Unknown 17 20%
Readers by discipline Count As %
Medicine and Dentistry 26 31%
Neuroscience 11 13%
Agricultural and Biological Sciences 10 12%
Biochemistry, Genetics and Molecular Biology 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 5 6%
Other 4 5%
Unknown 21 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 February 2023.
All research outputs
#7,171,074
of 26,737,129 outputs
Outputs from Frontiers in Neurology
#4,638
of 15,153 outputs
Outputs of similar age
#67,989
of 294,941 outputs
Outputs of similar age from Frontiers in Neurology
#28
of 210 outputs
Altmetric has tracked 26,737,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 15,153 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 69% 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 294,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.