↓ Skip to main content

PLOS

Anti-Aβ Drug Screening Platform Using Human iPS Cell-Derived Neurons for the Treatment of Alzheimer's Disease

Overview of attention for article published in PLOS ONE, September 2011
Altmetric Badge

Mentioned by

twitter
4 X users
patent
3 patents
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
266 Mendeley
citeulike
2 CiteULike
Title
Anti-Aβ Drug Screening Platform Using Human iPS Cell-Derived Neurons for the Treatment of Alzheimer's Disease
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025788
Pubmed ID
Authors

Naoki Yahata, Masashi Asai, Shiho Kitaoka, Kazutoshi Takahashi, Isao Asaka, Hiroyuki Hioki, Takeshi Kaneko, Kei Maruyama, Takaomi C. Saido, Tatsutoshi Nakahata, Takashi Asada, Shinya Yamanaka, Nobuhisa Iwata, Haruhisa Inoue

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder that causes progressive memory and cognitive decline during middle to late adult life. The AD brain is characterized by deposition of amyloid β peptide (Aβ), which is produced from amyloid precursor protein by β- and γ-secretase (presenilin complex)-mediated sequential cleavage. Induced pluripotent stem (iPS) cells potentially provide an opportunity to generate a human cell-based model of AD that would be crucial for drug discovery as well as for investigating mechanisms of the disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Spain 2 <1%
Japan 2 <1%
Brazil 1 <1%
Singapore 1 <1%
Korea, Republic of 1 <1%
Denmark 1 <1%
Hungary 1 <1%
Argentina 1 <1%
Other 1 <1%
Unknown 251 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 19%
Student > Ph. D. Student 49 18%
Student > Master 40 15%
Student > Bachelor 31 12%
Student > Postgraduate 15 6%
Other 53 20%
Unknown 27 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 35%
Medicine and Dentistry 37 14%
Biochemistry, Genetics and Molecular Biology 35 13%
Neuroscience 35 13%
Engineering 8 3%
Other 20 8%
Unknown 39 15%