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Scanning ultrasound removes amyloid-β and restores memory in an Alzheimer’s disease mouse model

Overview of attention for article published in Science Translational Medicine, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 3,399)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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134 Dimensions

Readers on

mendeley
604 Mendeley
citeulike
7 CiteULike
Title
Scanning ultrasound removes amyloid-β and restores memory in an Alzheimer’s disease mouse model
Published in
Science Translational Medicine, March 2015
DOI 10.1126/scitranslmed.aaa2512
Pubmed ID
Authors

Gerhard Leinenga, Jürgen Götz

Abstract

Amyloid-β (Aβ) peptide has been implicated in the pathogenesis of Alzheimer's disease (AD). We present a nonpharmacological approach for removing Aβ and restoring memory function in a mouse model of AD in which Aβ is deposited in the brain. We used repeated scanning ultrasound (SUS) treatments of the mouse brain to remove Aβ, without the need for any additional therapeutic agent such as anti-Aβ antibody. Spinning disk confocal microscopy and high-resolution three-dimensional reconstruction revealed extensive internalization of Aβ into the lysosomes of activated microglia in mouse brains subjected to SUS, with no concomitant increase observed in the number of microglia. Plaque burden was reduced in SUS-treated AD mice compared to sham-treated animals, and cleared plaques were observed in 75% of SUS-treated mice. Treated AD mice also displayed improved performance on three memory tasks: the Y-maze, the novel object recognition test, and the active place avoidance task. Our findings suggest that repeated SUS is useful for removing Aβ in the mouse brain without causing overt damage, and should be explored further as a noninvasive method with therapeutic potential in AD.

Twitter Demographics

The data shown below were collected from the profiles of 1,007 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 604 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 4%
United Kingdom 12 2%
Germany 4 <1%
Canada 4 <1%
France 2 <1%
Finland 2 <1%
Spain 2 <1%
Brazil 2 <1%
Chile 2 <1%
Other 10 2%
Unknown 540 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 171 28%
Researcher 124 21%
Student > Bachelor 79 13%
Student > Master 67 11%
Student > Postgraduate 31 5%
Other 132 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 169 28%
Medicine and Dentistry 99 16%
Neuroscience 71 12%
Unspecified 51 8%
Engineering 49 8%
Other 165 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 1376. 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 21 October 2018.
All research outputs
#1,455
of 12,141,799 outputs
Outputs from Science Translational Medicine
#8
of 3,399 outputs
Outputs of similar age
#40
of 223,117 outputs
Outputs of similar age from Science Translational Medicine
#1
of 112 outputs
Altmetric has tracked 12,141,799 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.2. This one has done particularly well, scoring higher than 99% 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 223,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 112 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 99% of its contemporaries.