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Insight into the Interactions of Amyloid β‐Sheets with Graphene Flakes: Scrutinizing the Role of Aromatic Residues in Amyloids that Interact with Graphene

Overview of attention for article published in ChemPhysChem, December 2017
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Title
Insight into the Interactions of Amyloid β‐Sheets with Graphene Flakes: Scrutinizing the Role of Aromatic Residues in Amyloids that Interact with Graphene
Published in
ChemPhysChem, December 2017
DOI 10.1002/cphc.201700847
Pubmed ID
Authors

Dragana M. Božinovski, Predrag V. Petrović, Milivoj R. Belić, Snežana D. Zarić

Abstract

The interaction of amyloid β-sheet segments with graphene flake models is investigated using the density functional theory (DFT). The structure of β-sheets of selected amyloid segments is based on the crystal structures obtained from the Protein Data Bank. Our study, based on the DFT calculations on model systems, indicates that the interaction in amyloid-graphene aggregates can be stronger than the interactions for respective amyloid-amyloid aggregates. The results also indicate an important specific role of aromatic side chains in amyloid-graphene interactions. This work confirms recent experimental evidence that graphene and its modifications inhibit the aggregation of β-amyloid peptides.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 4 29%
Researcher 2 14%
Professor > Associate Professor 1 7%
Student > Postgraduate 1 7%
Unknown 6 43%
Readers by discipline Count As %
Chemistry 4 29%
Biochemistry, Genetics and Molecular Biology 1 7%
Physics and Astronomy 1 7%
Agricultural and Biological Sciences 1 7%
Unknown 7 50%
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 13 December 2017.
All research outputs
#19,869,877
of 24,417,958 outputs
Outputs from ChemPhysChem
#2,889
of 5,103 outputs
Outputs of similar age
#337,442
of 448,096 outputs
Outputs of similar age from ChemPhysChem
#60
of 106 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,103 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 5th percentile – i.e., 5% 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 448,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.