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Synaptic abnormalities in a Drosophila model of Alzheimer’s disease

Overview of attention for article published in Disease Models and Mechanisms, January 2014
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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6 X users
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3 patents
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2 Facebook pages

Citations

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58 Dimensions

Readers on

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129 Mendeley
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Title
Synaptic abnormalities in a Drosophila model of Alzheimer’s disease
Published in
Disease Models and Mechanisms, January 2014
DOI 10.1242/dmm.012104
Pubmed ID
Authors

Siddhita D. Mhatre, Vivek Satyasi, Mark Killen, Brie E. Paddock, Robert D. Moir, Aleister J. Saunders, Daniel R. Marenda

Abstract

Alzheimer's disease (AD) is an age-related neurodegenerative disease characterized by memory loss and decreased synaptic function. Advances in transgenic animal models of AD have facilitated our understanding of this disorder, and have aided in the development, speed and efficiency of testing potential therapeutics. Recently, we have described the characterization of a novel model of AD in the fruit fly, Drosophila melanogaster, where we expressed the human AD-associated proteins APP and BACE in the central nervous system of the fly. Here we describe synaptic defects in the larval neuromuscular junction (NMJ) in this model. Our results indicate that expression of human APP and BACE at the larval NMJ leads to defective larval locomotion behavior, decreased presynaptic connections, altered mitochondrial localization in presynaptic motor neurons and decreased postsynaptic protein levels. Treating larvae expressing APP and BACE with the γ-secretase inhibitor L-685,458 suppresses the behavioral defects as well as the pre- and postsynaptic defects. We suggest that this model will be useful to assess and model the synaptic dysfunction normally associated with AD, and will also serve as a powerful in vivo tool for rapid testing of potential therapeutics for AD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
Korea, Republic of 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Researcher 24 19%
Student > Master 16 12%
Student > Bachelor 13 10%
Student > Doctoral Student 9 7%
Other 17 13%
Unknown 26 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 23%
Neuroscience 24 19%
Biochemistry, Genetics and Molecular Biology 23 18%
Medicine and Dentistry 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 10 8%
Unknown 32 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2019.
All research outputs
#3,322,663
of 25,374,647 outputs
Outputs from Disease Models and Mechanisms
#442
of 1,922 outputs
Outputs of similar age
#37,198
of 319,280 outputs
Outputs of similar age from Disease Models and Mechanisms
#8
of 84 outputs
Altmetric has tracked 25,374,647 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 1,922 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 76% 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 319,280 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 88% of its contemporaries.
We're also able to compare this research output to 84 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 90% of its contemporaries.