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Stepping closer to treating Alzheimer’s disease patients with BACE1 inhibitor drugs

Overview of attention for article published in Translational Neurodegeneration, July 2016
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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 (89th percentile)

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1 news outlet
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13 X users
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2 Redditors

Citations

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85 Dimensions

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179 Mendeley
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Title
Stepping closer to treating Alzheimer’s disease patients with BACE1 inhibitor drugs
Published in
Translational Neurodegeneration, July 2016
DOI 10.1186/s40035-016-0061-5
Pubmed ID
Authors

Riqiang Yan

Abstract

Alzheimer's disease (AD) is the most common age-dependent neurodegenerative disease which impairs cognitive function and gradually causes patients to be unable to lead normal daily lives. While the etiology of AD remains an enigma, excessive accumulation of β-amyloid peptide (Aβ) is widely believed to induce pathological changes and cause dementia in brains of AD patients. BACE1 was discovered to initiate the cleavage of amyloid precursor protein (APP) at the β-secretase site. Only after this cleavage does γ-secretase further cleave the BACE1-cleaved C-terminal APP fragment to release Aβ. Hence, blocking BACE1 proteolytic activity will suppress Aβ generation. Due to the linkage of Aβ to the potential cause of AD, extensive discovery and development efforts have been directed towards potent BACE1 inhibitors for AD therapy. With the recent breakthrough in developing brain-penetrable BACE1 inhibitors, targeting amyloid deposition-mediated pathology for AD therapy has now become more practical. This review will summarize various strategies that have successfully led to the discovery of BACE1 drugs, such as MK8931, AZD-3293, JNJ-54861911, E2609 and CNP520. These drugs are currently in clinical trials and their updated states will be discussed. With the promise of reducing Aβ generation and deposition with no alarming safety concerns, the amyloid cascade hypothesis in AD therapy may finally become validated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
India 1 <1%
Unknown 176 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 18%
Researcher 32 18%
Student > Ph. D. Student 27 15%
Student > Master 20 11%
Student > Doctoral Student 9 5%
Other 19 11%
Unknown 39 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 17%
Chemistry 24 13%
Pharmacology, Toxicology and Pharmaceutical Science 23 13%
Neuroscience 19 11%
Agricultural and Biological Sciences 18 10%
Other 23 13%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 16 April 2018.
All research outputs
#2,115,806
of 25,374,647 outputs
Outputs from Translational Neurodegeneration
#65
of 384 outputs
Outputs of similar age
#37,806
of 371,041 outputs
Outputs of similar age from Translational Neurodegeneration
#2
of 4 outputs
Altmetric has tracked 25,374,647 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 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has done well, scoring higher than 83% 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 371,041 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.