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The Amyloid Precursor Protein—A Novel Player within the Molecular Array of Presynaptic Nanomachines

Overview of attention for article published in Frontiers in Synaptic Neuroscience, January 2016
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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 (99th percentile)

Mentioned by

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1 news outlet
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4 X users

Citations

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12 Dimensions

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50 Mendeley
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Title
The Amyloid Precursor Protein—A Novel Player within the Molecular Array of Presynaptic Nanomachines
Published in
Frontiers in Synaptic Neuroscience, January 2016
DOI 10.3389/fnsyn.2015.00021
Pubmed ID
Authors

Melanie Laßek, Jens Weingarten, Martin Wegner, Walter Volknandt

Abstract

More than 20 years ago the amyloid precursor protein (APP) was identified as the precursor protein of the Aβ peptide, the main component of senile plaques in brains affected by Alzheimer's disease (AD). The pathophysiology of AD, characterized by a massive loss of synapses, cognitive decline, and behavioral changes was in principle attributed to the accumulation of Aβ. Within the last decades, much effort has gone into understanding the molecular basis of the progression of AD. However, little is known about the actual physiological function of APPs. Allocating APP to the proteome of the structurally and functionally dynamic presynaptic active zone (PAZ) highlights APP as a hitherto unknown player within the setting of the presynapse. The molecular array of presynaptic nanomachines comprising the life cycle of synaptic vesicles, exo- and endocytosis, cytoskeletal rearrangements, and mitochondrial activity provides a balance between structural and functional maintenance and diversity. The generation of genetically designed mouse models further deciphered APP as an essential player in synapse formation and plasticity. Deletion of APP causes an age-dependent phenotype: while younger mice revealed almost no physiological impairments, this condition was changed in the elderly mice. Interestingly, the proteomic composition of neurotransmitter release sites already revealed substantial changes at young age. These changes point to a network that incorporates APP into a cluster of nanomachines. Currently, the underlying mechanism of how APP acts within these machines is still elusive. Within the scope of this review, we shall construct a network of APP interaction partners within the PAZ. Furthermore, we intend to outline how deletion of APP affects this network during space and time leading to impairments in learning and memory. These alterations may provide a molecular link to the pathogenesis of AD and the physiological function of APP in the central nervous system.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 8 16%
Student > Master 5 10%
Student > Bachelor 3 6%
Student > Doctoral Student 3 6%
Other 11 22%
Unknown 11 22%
Readers by discipline Count As %
Neuroscience 13 26%
Agricultural and Biological Sciences 10 20%
Biochemistry, Genetics and Molecular Biology 7 14%
Medicine and Dentistry 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 3 6%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 June 2019.
All research outputs
#2,995,620
of 25,010,497 outputs
Outputs from Frontiers in Synaptic Neuroscience
#52
of 442 outputs
Outputs of similar age
#50,267
of 405,920 outputs
Outputs of similar age from Frontiers in Synaptic Neuroscience
#1
of 8 outputs
Altmetric has tracked 25,010,497 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 88% 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 405,920 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them