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Genetics and genomics of Parkinson’s disease

Overview of attention for article published in Genome Medicine, June 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
3 X users
patent
1 patent
googleplus
1 Google+ user

Citations

dimensions_citation
152 Dimensions

Readers on

mendeley
243 Mendeley
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Title
Genetics and genomics of Parkinson’s disease
Published in
Genome Medicine, June 2014
DOI 10.1186/gm566
Pubmed ID
Authors

Michelle K Lin, Matthew J Farrer

Abstract

Parkinson's disease (PD) is a progressively debilitating neurodegenerative syndrome. Although best described as a movement disorder, the condition has prominent autonomic, cognitive, psychiatric, sensory and sleep components. Striatal dopaminergic innervation and nigral neurons are progressively lost, with associated Lewy pathology readily apparent on autopsy. Nevertheless, knowledge of the molecular events leading to this pathophysiology is limited. Current therapies offer symptomatic benefit but they fail to slow progression and patients continue to deteriorate. Recent discoveries in sporadic, Mendelian and more complex forms of parkinsonism provide novel insight into disease etiology; 28 genes, including those encoding alpha-synuclein (SNCA), leucine-rich repeat kinase 2 (LRRK2) and microtubule-associated protein tau (MAPT), have been linked and/or associated with PD. A consensus regarding the affected biological pathways and molecular processes has also started to emerge. In early-onset and more a typical PD, deficits in mitophagy pathways and lysosomal function appear to be prominent. By contrast, in more typical late-onset PD, chronic, albeit subtle, dysfunction in synaptic transmission, early endosomal trafficking and receptor recycling, as well as chaperone-mediated autophagy, provide a unifying synthesis of the molecular pathways involved. Disease-modification (neuroprotection) is no longer such an elusive goal given the unparalleled opportunity for diagnosis, translational neuroscience and therapeutic development provided by genetic discovery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
United States 2 <1%
Portugal 1 <1%
Unknown 238 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 19%
Student > Bachelor 37 15%
Researcher 36 15%
Student > Master 26 11%
Professor > Associate Professor 12 5%
Other 29 12%
Unknown 57 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 21%
Biochemistry, Genetics and Molecular Biology 37 15%
Medicine and Dentistry 34 14%
Neuroscience 31 13%
Pharmacology, Toxicology and Pharmaceutical Science 6 2%
Other 22 9%
Unknown 63 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 05 January 2017.
All research outputs
#1,379,206
of 25,374,647 outputs
Outputs from Genome Medicine
#290
of 1,585 outputs
Outputs of similar age
#13,445
of 241,935 outputs
Outputs of similar age from Genome Medicine
#4
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 81% 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 241,935 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 94% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.