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Dove Medical Press

Characterization of mutations in PRNP (prion) gene and their possible roles in neurodegenerative diseases

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 news outlet
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3 X users
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19 patents
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1 Facebook page

Readers on

mendeley
121 Mendeley
Title
Characterization of mutations in PRNP (prion) gene and their possible roles in neurodegenerative diseases
Published in
Neuropsychiatric Disease and Treatment, August 2018
DOI 10.2147/ndt.s165445
Pubmed ID
Authors

Eva Bagyinszky, Vo Van Giau, Young Chul Youn, Seong Soo A An, SangYun Kim

Abstract

Abnormal prion proteins are responsible for several fatal neurodegenerative diseases in humans and in animals, including Creutzfeldt-Jakob disease (CJD), Gerstmann-Sträussler-Scheinker disease, and fatal familial insomnia. Genetics is important in prion diseases, but in the most cases, cause of diseases remained unknown. Several mutations were found to be causative for prion disorders, and the effect of mutations may be heterogeneous. In addition, different prion mutations were suggested to play a possible role in additional phenotypes, such as Alzheimer's type pathology, spongiform encephalopathy, or frontotemporal dementia. Pathogenic nature of several prion mutations remained unclear, such as M129V and E219K. These two polymorphic sites were suggested as either risk factors for different disorders, such as Alzheimer's disease (AD), variant CJD, or protease-sensitive prionopathy, and they can also be disease-modifying factors. Pathological overlap may also be possible with AD or progressive dementia, and several patients with prion mutations were initially diagnosed with AD. This review also introduces briefly the diagnosis of prion diseases and the issues with their diagnosis. Since prion diseases have quite heterogeneous phenotypes, a complex analysis, a combination of genetic screening, cerebrospinal fluid biomarker analysis and imaging technologies could improve the early disease diagnosis.

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

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 17%
Student > Ph. D. Student 16 13%
Student > Master 8 7%
Researcher 7 6%
Student > Postgraduate 7 6%
Other 11 9%
Unknown 51 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 16%
Neuroscience 16 13%
Medicine and Dentistry 10 8%
Agricultural and Biological Sciences 4 3%
Immunology and Microbiology 4 3%
Other 14 12%
Unknown 54 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 March 2024.
All research outputs
#2,089,989
of 25,385,509 outputs
Outputs from Neuropsychiatric Disease and Treatment
#257
of 3,131 outputs
Outputs of similar age
#41,913
of 341,886 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#5
of 79 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 91% 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 341,886 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 87% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.