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NIR-excited upconversion nanoparticles used for targeted inhibition of Aβ42 monomers and disassembly of Aβ42 fibrils

Overview of attention for article published in Journal of Materials Chemistry B: Materials for biology and medicine, January 2023
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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1 X user
facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

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1 Mendeley
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Title
NIR-excited upconversion nanoparticles used for targeted inhibition of Aβ42 monomers and disassembly of Aβ42 fibrils
Published in
Journal of Materials Chemistry B: Materials for biology and medicine, January 2023
DOI 10.1039/d2tb02104h
Pubmed ID
Authors

Yijia Guan, Weijie Cao, Tao Li, Jieyi Qin, Qilong He, Xiaofeng Jia, Yuqing Li, Yuhua Zhang, Jianguo Liao

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.
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 20 February 2023.
All research outputs
#3,696,485
of 25,756,911 outputs
Outputs from Journal of Materials Chemistry B: Materials for biology and medicine
#172
of 5,583 outputs
Outputs of similar age
#74,727
of 480,054 outputs
Outputs of similar age from Journal of Materials Chemistry B: Materials for biology and medicine
#24
of 406 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,583 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 96% 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 480,054 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 84% of its contemporaries.
We're also able to compare this research output to 406 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 94% of its contemporaries.