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Role of CLU, PICALM, and TNK1 Genotypes in Aging With and Without Alzheimer’s Disease

Overview of attention for article published in Molecular Neurobiology, June 2017
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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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet

Citations

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21 Dimensions

Readers on

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38 Mendeley
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Title
Role of CLU, PICALM, and TNK1 Genotypes in Aging With and Without Alzheimer’s Disease
Published in
Molecular Neurobiology, June 2017
DOI 10.1007/s12035-017-0547-x
Pubmed ID
Authors

Davide Seripa, Francesco Panza, Giulia Paroni, Grazia D’Onofrio, Paola Bisceglia, Carolina Gravina, Maria Urbano, Madia Lozupone, Vincenzo Solfrizzi, Alessandra Bizzarro, Virginia Boccardi, Chiara Piccininni, Antonio Daniele, Giancarlo Logroscino, Patrizia Mecocci, Carlo Masullo, Antonio Greco

Abstract

Healthy and impaired cognitive aging may be associated to different prevalences of single-nucleotide polymorphisms (SNPs). In a multicenter case-control association study, we studied the SNPs rs11136000 (clusterin, CLU), rs541458 (phosphatidylinositol binding clatrin assembly protein, PICALM), and rs1554948 (transcription factor A, and tyrosine kinase, non-receptor, 1, TNK1) according to the three age groups 50-65 years (group 1), 66-80 years (group 2), and 80+ years (group 3) in 569 older subjects without cognitive impairment (NoCI) and 520 Alzheimer's disease (AD) patients. In NoCI subjects, a regression analysis suggested a relationship between age and TNK1 genotypes, with the TNK1-A/A genotype frequency that increased with higher age, and resulting in a different distribution of the TNK1-A allele. In AD patients, a regression analysis suggested a relationship between age and PICALM genotypes and TNK1 genotypes, with the PICALM-T/C and TNK1-A/A genotype frequencies that decreased with increasing age. A resulting difference in the distribution of PICALM-C allele and TNK1-A allele was also observed. The TNK1-A allele was overrepresented in NoCI subjects than in AD patients in age groups 2 and 3. These results confirmed after adjustment for apolipoprotein E polymorphism, which suggested a different role of PICALM and TNK1 in healthy and impaired cognitive aging. More studies, however, are needed to confirm the observed associations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 5 13%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Student > Master 3 8%
Other 8 21%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 6 16%
Biochemistry, Genetics and Molecular Biology 6 16%
Psychology 3 8%
Neuroscience 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 16 42%
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 24 June 2017.
All research outputs
#4,215,045
of 22,982,639 outputs
Outputs from Molecular Neurobiology
#879
of 3,482 outputs
Outputs of similar age
#75,212
of 316,590 outputs
Outputs of similar age from Molecular Neurobiology
#22
of 100 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,482 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 69% 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 316,590 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 75% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.