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Induced pluripotent stem cells as tools for disease modelling and drug discovery in Alzheimer’s disease

Overview of attention for article published in Journal of Neural Transmission, June 2012
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Title
Induced pluripotent stem cells as tools for disease modelling and drug discovery in Alzheimer’s disease
Published in
Journal of Neural Transmission, June 2012
DOI 10.1007/s00702-012-0839-2
Pubmed ID
Authors

Lezanne Ooi, Kuldip Sidhu, Anne Poljak, Greg Sutherland, Michael D. O’Connor, Perminder Sachdev, Gerald Münch

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative brain disorder that leads to a progressive decline in a person's memory and ability to communicate and carry out daily activities. The brain pathology in AD is characterized by extensive neuronal loss, particularly of cholinergic neurons, intracellular neurofibrillary tangles composed of the tau protein (NFTs) and extracellular deposition of plaques composed of β-amyloid (Aβ), a cleavage product of the amyloid precursor protein (APP). These two insoluble protein aggregates are accompanied by a chronic inflammatory response and extensive oxidative damage. Whereas dys-regulation of APP expression or processing appears to be important for the familial, early-onset form of AD, controversy exists between the "Baptists" (in favour of Aβ) and the "Tauists" (in favour of tau) as to which of these two protein dysfunctions occur at the earliest stages or are the most important contributors to the disease process in sporadic AD. However, more and more "non-amyloid" and "non-tau" causes have been proposed, including, glycation, inflammation, oxidative stress and dys-regulation of the cell cycle. However, to get an insight into the ultimate cause of AD, and to prove that any drug target is valuable in AD, disease-relevant models giving insight into the pathogenic processes in AD are urgently needed. In the absence of a good animal model for sporadic AD, we propose in this review that induced pluripotent stem cells, derived from dermal fibroblasts of AD patients, and differentiated into cholinergic neurons, might be a promising novel tool for disease modelling and drug discovery for the sporadic form of AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Ireland 1 <1%
Russia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 118 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Researcher 21 17%
Student > Bachelor 20 16%
Student > Master 15 12%
Student > Doctoral Student 12 10%
Other 16 13%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 29%
Biochemistry, Genetics and Molecular Biology 16 13%
Neuroscience 14 11%
Medicine and Dentistry 13 10%
Engineering 8 6%
Other 16 13%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 January 2013.
All research outputs
#15,261,106
of 22,693,205 outputs
Outputs from Journal of Neural Transmission
#1,255
of 1,760 outputs
Outputs of similar age
#106,731
of 167,261 outputs
Outputs of similar age from Journal of Neural Transmission
#19
of 30 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,760 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 167,261 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.