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MicroRNAs and Target Genes As Biomarkers for the Diagnosis of Early Onset of Parkinson Disease

Overview of attention for article published in Frontiers in Molecular Neuroscience, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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6 X users
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1 Wikipedia page

Citations

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49 Dimensions

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138 Mendeley
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Title
MicroRNAs and Target Genes As Biomarkers for the Diagnosis of Early Onset of Parkinson Disease
Published in
Frontiers in Molecular Neuroscience, October 2017
DOI 10.3389/fnmol.2017.00352
Pubmed ID
Authors

Ahmad R. Arshad, Siti A. Sulaiman, Amalia A. Saperi, Rahman Jamal, Norlinah Mohamed Ibrahim, Nor Azian Abdul Murad

Abstract

Among the neurodegenerative disorders, Parkinson's disease (PD) ranks as the second most common disorder with a higher prevalence in individuals aged over 60 years old. Younger individuals may also be affected with PD which is known as early onset PD (EOPD). Despite similarities between the characteristics of EOPD and late onset PD (LODP), EOPD patients experience much longer disease manifestations and poorer quality of life. Although some individuals are more prone to have EOPD due to certain genetic alterations, the molecular mechanisms that differentiate between EOPD and LOPD remains unclear. Recent findings in PD patients revealed that there were differences in the genetic profiles of PD patients compared to healthy controls, as well as between EOPD and LOPD patients. There were variants identified that correlated with the decline of cognitive and motor symptoms as well as non-motor symptoms in PD. There were also specific microRNAs that correlated with PD progression, and since microRNAs have been shown to be involved in the maintenance of neuronal development, mitochondrial dysfunction and oxidative stress, there is a strong possibility that these microRNAs can be potentially used to differentiate between subsets of PD patients. PD is mainly diagnosed at the late stage, when almost majority of the dopaminergic neurons are lost. Therefore, identification of molecular biomarkers for early detection of PD is important. Given that miRNAs are crucial in controlling the gene expression, these regulatory microRNAs and their target genes could be used as biomarkers for early diagnosis of PD. In this article, we discussed the genes involved and their regulatory miRNAs, regarding their roles in PD progression, based on the findings of significantly altered microRNAs in EOPD studies. We also discussed the potential of these miRNAs as molecular biomarkers for early diagnosis.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 22%
Student > Ph. D. Student 21 15%
Student > Master 12 9%
Researcher 11 8%
Student > Doctoral Student 10 7%
Other 19 14%
Unknown 34 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 20%
Medicine and Dentistry 26 19%
Neuroscience 17 12%
Agricultural and Biological Sciences 7 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Other 15 11%
Unknown 40 29%
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 13 March 2020.
All research outputs
#5,477,871
of 23,007,887 outputs
Outputs from Frontiers in Molecular Neuroscience
#722
of 2,909 outputs
Outputs of similar age
#88,249
of 328,934 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#15
of 118 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 328,934 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 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.