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Impact of late-onset Alzheimer’s genetic risk factors on beta-amyloid endocytic production

Overview of attention for article published in Cellular and Molecular Life Sciences, April 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 news outlet
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2 X users
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1 patent

Citations

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95 Mendeley
Title
Impact of late-onset Alzheimer’s genetic risk factors on beta-amyloid endocytic production
Published in
Cellular and Molecular Life Sciences, April 2018
DOI 10.1007/s00018-018-2825-9
Pubmed ID
Authors

Cláudia Guimas Almeida, Farzaneh Sadat Mirfakhar, Catarina Perdigão, Tatiana Burrinha

Abstract

The increased production of the 42 aminoacids long beta-amyloid (Aβ42) peptide has been established as a causal mechanism of the familial early onset Alzheimer's disease (AD). In contrast, the causal mechanisms of the late-onset AD (LOAD), that affects most AD patients, remain to be established. Indeed, Aβ42 accumulation has been detected more than 30 years before diagnosis. Thus, the mechanisms that control Aβ accumulation in LOAD likely go awry long before pathogenesis becomes detectable. Early on, APOE4 was identified as the biggest genetic risk factor for LOAD. However, since APOE4 is not present in all LOAD patients, genome-wide association studies of thousands of LOAD patients were undertaken to identify other genetic variants that could explain the development of LOAD. PICALM, BIN1, CD2AP, SORL1, and PLD3 are now with APOE4 among the identified genes at highest risk in LOAD that have been implicated in Aβ42 production. Recent evidence indicates that the regulation of the endocytic trafficking of the amyloid precursor protein (APP) and/or its secretases to and from sorting endosomes is determinant for Aβ42 production. Thus, here, we will review the described mechanisms, whereby these genetic risk factors can contribute to the enhanced endocytic production of Aβ42. Dissecting causal LOAD mechanisms of Aβ42 accumulation, underlying the contribution of each genetic risk factor, will be required to identify therapeutic targets for novel personalized preventive strategies.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Bachelor 12 13%
Student > Ph. D. Student 11 12%
Student > Master 11 12%
Student > Doctoral Student 8 8%
Other 6 6%
Unknown 32 34%
Readers by discipline Count As %
Neuroscience 27 28%
Agricultural and Biological Sciences 14 15%
Biochemistry, Genetics and Molecular Biology 12 13%
Medicine and Dentistry 7 7%
Nursing and Health Professions 2 2%
Other 0 0%
Unknown 33 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 May 2021.
All research outputs
#2,415,849
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#318
of 4,151 outputs
Outputs of similar age
#51,745
of 327,910 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#5
of 44 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% 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 327,910 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 84% 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 88% of its contemporaries.