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The genetic architecture of mitochondrial dysfunction in Parkinson’s disease

Overview of attention for article published in Cell and Tissue Research, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • 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)

Mentioned by

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6 X users
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2 Wikipedia pages

Citations

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133 Dimensions

Readers on

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236 Mendeley
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1 CiteULike
Title
The genetic architecture of mitochondrial dysfunction in Parkinson’s disease
Published in
Cell and Tissue Research, January 2018
DOI 10.1007/s00441-017-2768-8
Pubmed ID
Authors

S. B. Larsen, Z. Hanss, R. Krüger

Abstract

Mitochondrial impairment is a well-established pathological pathway implicated in Parkinson's disease (PD). Defects of the complex I of the mitochondrial respiratory chain have been found in post-mortem brains from sporadic PD patients. Furthermore, several disease-related genes are linked to mitochondrial pathways, such as PRKN, PINK1, DJ-1 and HTRA2 and are associated with mitochondrial impairment. This phenotype can be caused by the dysfunction of mitochondrial quality control machinery at different levels: molecular, organellar or cellular. Mitochondrial unfolded protein response represents the molecular level and implicates various chaperones and proteases. If the molecular level of quality control is not sufficient, the organellar level is required and involves mitophagy and mitochondrial-derived vesicles to sequester whole dysfunctional organelle or parts of it. Only when the impairment is too severe, does it lead to cell death via apoptosis, which defines the cellular level of quality control. Here, we review how currently known PD-linked genetic variants interfere with different levels of mitochondrial quality control. We discuss the graded risk concept of the most recently identified PARK loci (PARK 17-23) and some susceptibility variants in GBA, LRRK2 and SNCA. Finally, the emerging concept of rare genetic variants in candidates genes for PD, such as HSPA9, TRAP1 and RHOT1, complete the picture of the complex genetic architecture of PD that will direct future precision medicine approaches.

X Demographics

X Demographics

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 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 236 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 15%
Researcher 33 14%
Student > Bachelor 31 13%
Student > Master 22 9%
Student > Doctoral Student 18 8%
Other 38 16%
Unknown 58 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 23%
Neuroscience 45 19%
Medicine and Dentistry 27 11%
Agricultural and Biological Sciences 22 9%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Other 10 4%
Unknown 69 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 September 2021.
All research outputs
#4,852,393
of 23,839,820 outputs
Outputs from Cell and Tissue Research
#229
of 2,279 outputs
Outputs of similar age
#105,475
of 445,158 outputs
Outputs of similar age from Cell and Tissue Research
#6
of 44 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,279 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 89% 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 445,158 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 44 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.