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Controlling amyloid fibril formation by partial stirring

Overview of attention for article published in Biospectroscopy, February 2016
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Title
Controlling amyloid fibril formation by partial stirring
Published in
Biospectroscopy, February 2016
DOI 10.1002/bip.22803
Pubmed ID
Authors

Fredrik G Bäcklund, Jon Pallbo, Niclas Solin

Abstract

Many proteins undergoe self-assembly into fibrillar structures known as amyloid fibrils. During the self-assembly process related structures, known as spherulites, can be formed. Herein we report a facile method where the balance between amyloid fibrils and spherulites can be controlled by stirring of the reaction mixture during the initial stages of the self-assembly process. Moreover, we report how this methodology can be used to prepare non-covalently functionalized amyloid fibrils. By stirring the reaction mixture continuously or for a limited time during the lag phase, the fibril length, and hence the propensity to form liquid crystalline phases, can be influenced. This phenomena is utilized in order to prepare films consisting of aligned protein fibrils incorporating the laser dye Nile red. The resulting films display polarized Nile red fluorescence. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 40%
Student > Master 5 25%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Unknown 4 20%
Readers by discipline Count As %
Chemistry 6 30%
Physics and Astronomy 3 15%
Engineering 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 5 25%
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 January 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Biospectroscopy
#1,696
of 1,867 outputs
Outputs of similar age
#268,902
of 312,187 outputs
Outputs of similar age from Biospectroscopy
#10
of 15 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,867 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 312,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.