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Structure and Synaptic Function of Metal Binding to the Amyloid Precursor Protein and its Proteolytic Fragments

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2017
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Title
Structure and Synaptic Function of Metal Binding to the Amyloid Precursor Protein and its Proteolytic Fragments
Published in
Frontiers in Molecular Neuroscience, January 2017
DOI 10.3389/fnmol.2017.00021
Pubmed ID
Authors

Klemens Wild, Alexander August, Claus U. Pietrzik, Stefan Kins

Abstract

Alzheimer's disease (AD) is ultimately linked to the amyloid precursor protein (APP). However, current research reveals an important synaptic function of APP and APP-like proteins (APLP1 and 2). In this context various neurotrophic and neuroprotective functions have been reported for the APP proteolytic fragments sAPPα, sAPPβ and the monomeric amyloid-beta peptide (Aβ). APP is a metalloprotein and binds copper and zinc ions. Synaptic activity correlates with a release of these ions into the synaptic cleft and dysregulation of their homeostasis is linked to different neurodegenerative diseases. Metal binding to APP or its fragments affects its structure and its proteolytic cleavage and therefore its physiological function at the synapse. Here, we summarize the current data supporting this hypothesis and provide a model of how these different mechanisms might be intertwined with each other.

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The data shown below were collected from the profiles of 2 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Student > Bachelor 17 20%
Student > Master 14 16%
Researcher 12 14%
Student > Doctoral Student 5 6%
Other 5 6%
Unknown 13 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 21%
Neuroscience 13 15%
Chemistry 13 15%
Agricultural and Biological Sciences 11 13%
Medicine and Dentistry 4 5%
Other 9 11%
Unknown 17 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 February 2017.
All research outputs
#17,873,766
of 22,950,943 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,069
of 2,897 outputs
Outputs of similar age
#293,471
of 420,224 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#64
of 99 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,897 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 420,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.