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Distinct Spacing Between Anionic Groups: An Essential Chemical Determinant for Achieving Thiophene‐Based Ligands to Distinguish β‐Amyloid or Tau Polymorphic Aggregates

Overview of attention for article published in Chemistry - A European Journal, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Citations

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44 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Distinct Spacing Between Anionic Groups: An Essential Chemical Determinant for Achieving Thiophene‐Based Ligands to Distinguish β‐Amyloid or Tau Polymorphic Aggregates
Published in
Chemistry - A European Journal, May 2015
DOI 10.1002/chem.201500556
Pubmed ID
Authors

Therése Klingstedt, Hamid Shirani, Jasmin Mahler, Bettina M Wegenast-Braun, Sofie Nyström, Michel Goedert, Mathias Jucker, K Peter R Nilsson

Abstract

The accumulation of protein aggregates is associated with many devastating neurodegenerative diseases and the existence of distinct aggregated morphotypes has been suggested to explain the heterogeneous phenotype reported for these diseases. Thus, the development of molecular probes able to distinguish such morphotypes is essential. We report an anionic tetrameric oligothiophene compound that can be utilized for spectral assignment of different morphotypes of β-amyloid or tau aggregates present in transgenic mice at distinct ages. The ability of the ligand to spectrally distinguish between the aggregated morphotypes was reduced when the spacing between the anionic substituents along the conjugated thiophene backbone was altered, which verified that specific molecular interactions between the ligand and the protein aggregate are necessary to detect aggregate polymorphism. Our findings provide the structural and functional basis for the development of new fluorescent ligands that can distinguish between different morphotypes of protein aggregates.

X Demographics

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Germany 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Other 4 13%
Researcher 4 13%
Student > Bachelor 3 9%
Lecturer > Senior Lecturer 2 6%
Other 4 13%
Unknown 7 22%
Readers by discipline Count As %
Chemistry 12 38%
Biochemistry, Genetics and Molecular Biology 4 13%
Medicine and Dentistry 4 13%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 06 September 2022.
All research outputs
#2,172,685
of 24,629,540 outputs
Outputs from Chemistry - A European Journal
#605
of 22,968 outputs
Outputs of similar age
#27,556
of 271,458 outputs
Outputs of similar age from Chemistry - A European Journal
#8
of 241 outputs
Altmetric has tracked 24,629,540 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,968 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 271,458 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 89% of its contemporaries.
We're also able to compare this research output to 241 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 96% of its contemporaries.