↓ Skip to main content

Circulating miRNAs as Diagnostic Biomarkers for Parkinson’s Disease

Overview of attention for article published in Frontiers in Neuroscience, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
2 news outlets
twitter
8 X users
patent
1 patent

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
132 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Circulating miRNAs as Diagnostic Biomarkers for Parkinson’s Disease
Published in
Frontiers in Neuroscience, September 2018
DOI 10.3389/fnins.2018.00625
Pubmed ID
Authors

Anna Elisa Roser, Lucas Caldi Gomes, Jonas Schünemann, Fabian Maass, Paul Lingor

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide. Its main neuropathological hallmarks are the degeneration of dopaminergic neurons in the substantia nigra and alpha-synuclein containing protein inclusions, called Lewy Bodies. The diagnosis of idiopathic PD is still based on the assessment of clinical criteria, leading to an insufficient diagnostic accuracy. Additionally, there is no biomarker available allowing the prediction of the disease course or monitoring the response to therapeutic approaches. So far, protein biomarker candidates such as alpha-synuclein have failed to improve diagnosis of PD. Circulating microRNAs (miRNAs) in body fluids are promising biomarker candidates for PD, as they are easily accessible by non- or minimally-invasive procedures and changes in their expression are associated with pathophysiological processes relevant for PD. Advances in miRNA analysis methods resulted in numerous recent publications on miRNAs as putative biomarkers. Here, we discuss the applicability of different body fluids as sources for miRNA biomarkers, highlight technical aspects of miRNA analysis and give an overview on published studies investigating circulating miRNAs as biomarker candidates for diagnosis of PD and other Parkinsonian syndromes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Student > Master 18 14%
Student > Doctoral Student 12 9%
Researcher 10 8%
Student > Bachelor 10 8%
Other 19 14%
Unknown 37 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 18%
Neuroscience 16 12%
Medicine and Dentistry 15 11%
Agricultural and Biological Sciences 10 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 24 18%
Unknown 36 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 24 September 2022.
All research outputs
#1,748,436
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#866
of 11,938 outputs
Outputs of similar age
#34,392
of 349,631 outputs
Outputs of similar age from Frontiers in Neuroscience
#27
of 241 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 92% 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 349,631 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.