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Peptide Self‐Assembly into Amyloid Fibrils at Hard and Soft Interfaces—From Corona Formation to Membrane Activity

Overview of attention for article published in Macromolecular Bioscience, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,896)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Peptide Self‐Assembly into Amyloid Fibrils at Hard and Soft Interfaces—From Corona Formation to Membrane Activity
Published in
Macromolecular Bioscience, March 2023
DOI 10.1002/mabi.202200576
Pubmed ID
Authors

Torsten John, Lisandra L. Martin, Bernd Abel

Abstract

Peptides and proteins are exposed to a variety of interfaces in a physiological environment, such as cell membranes, protein nanoparticles or viruses. These interfaces have a significant impact on the interaction, self-assembly, and aggregation mechanisms of biomolecular systems. Peptide self-assembly, particularly amyloid fibril formation, is associated with a wide range of functions; however, there is a link with neurodegenerative diseases such as Alzheimer's disease. This review highlights how interfaces affect peptide structure and the kinetics of aggregation leading to fibril formation. In nature, many surfaces are nanostructures such as liposomes, viruses or synthetic nanoparticles. Once exposed to a biological medium, nanostructures are coated with a corona, which then determines their activity. Both accelerating and inhibiting effects on peptide self-assembly have been observed. When amyloid peptides adsorb to a surface, they typically concentrate locally, which promotes aggregation into insoluble fibrils. Starting from a combined experimental and theoretical approach, we introduce and review models that allow for a better understanding of peptide self-assembly near hard and soft matter interfaces. We present research results from our laboratories, obtained in the last few years, and propose relationships between biological interfaces such as membranes and viruses and amyloid fibril formation. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Professor 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Researcher 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Chemistry 6 43%
Physics and Astronomy 1 7%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 March 2023.
All research outputs
#2,366,471
of 23,953,397 outputs
Outputs from Macromolecular Bioscience
#35
of 1,896 outputs
Outputs of similar age
#45,888
of 405,766 outputs
Outputs of similar age from Macromolecular Bioscience
#1
of 26 outputs
Altmetric has tracked 23,953,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,896 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 405,766 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 88% of its contemporaries.
We're also able to compare this research output to 26 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 99% of its contemporaries.