↓ Skip to main content

Anionic Oligothiophenes Compete for Binding of X‐34 but not PIB to Recombinant Aβ Amyloid Fibrils and Alzheimer's Disease Brain‐Derived Aβ

Overview of attention for article published in Chemistry - A European Journal, November 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Anionic Oligothiophenes Compete for Binding of X‐34 but not PIB to Recombinant Aβ Amyloid Fibrils and Alzheimer's Disease Brain‐Derived Aβ
Published in
Chemistry - A European Journal, November 2016
DOI 10.1002/chem.201604583
Pubmed ID
Authors

Marcus Bäck, Hanna Appelqvist, Harry LeVine, K. Peter R. Nilsson

Abstract

Deposits comprised of amyloid-β(Aβ) are one of the pathological hallmarks of Alzheimer's disease (AD) and small hydrophobic ligands targeting these aggregated species are used clinically for diagnosis of AD. Herein, we observed that anionic oligothiophenes efficiently displaced X-34, a Congo Red analogue, but not Pittsburgh compound B (PIB) from recombinant Aβ amyloid fibrils and Alzheimer's disease brain-derived Aβ. Overall, we foresee that the oligothiophene scaffold offers the possibility to develop novel high-affinity ligands for Aβ pathology only found in human AD brain, targeting a different site than PIB.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Other 2 17%
Professor 2 17%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Chemistry 3 25%
Agricultural and Biological Sciences 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Computer Science 1 8%
Engineering 1 8%
Other 0 0%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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
#3,266,291
of 24,577,646 outputs
Outputs from Chemistry - A European Journal
#1,783
of 22,911 outputs
Outputs of similar age
#53,720
of 317,114 outputs
Outputs of similar age from Chemistry - A European Journal
#24
of 516 outputs
Altmetric has tracked 24,577,646 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 22,911 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 317,114 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 82% of its contemporaries.
We're also able to compare this research output to 516 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 95% of its contemporaries.