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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Complex regulation of γ-secretase: from obligatory to modulatory subunits
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, January 2015
|
| DOI | 10.3389/fnagi.2014.00342 |
| Pubmed ID | |
| Authors |
Natalya Gertsik, Danica Chiu, Yue-Ming Li |
| Abstract |
γ-Secretase is a four subunit, 19-pass transmembrane enzyme that cleaves amyloid precursor protein (APP), catalyzing the formation of amyloid beta (Aβ) peptides that form amyloid plaques, which contribute to Alzheimer's disease (AD) pathogenesis. γ-Secretase also cleaves Notch, among many other type I transmembrane substrates. Despite its seemingly promiscuous enzymatic capacity, γ-secretase activity is tightly regulated. This regulation is a function of many cellular entities, including but not limited to the essential γ-secretase subunits, nonessential (modulatory) subunits, and γ-secretase substrates. Regulation is also accomplished by an array of cellular events, such as presenilin (active subunit of γ-secretase) endoproteolysis and hypoxia. In this review we discuss how γ-secretase is regulated with the hope that an advanced understanding of these mechanisms will aid in the development of effective therapeutics for γ-secretase-associated diseases like AD and Notch-addicted cancer. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 149 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 18% |
| Student > Bachelor | 21 | 14% |
| Researcher | 18 | 12% |
| Student > Master | 18 | 12% |
| Professor | 7 | 5% |
| Other | 19 | 13% |
| Unknown | 40 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 32 | 21% |
| Agricultural and Biological Sciences | 17 | 11% |
| Neuroscience | 14 | 9% |
| Medicine and Dentistry | 14 | 9% |
| Chemistry | 12 | 8% |
| Other | 15 | 10% |
| Unknown | 46 | 31% |
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 23 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from Frontiers in Aging Neuroscience
#4,277
of 4,760 outputs
Outputs of similar age
#295,310
of 352,338 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#37
of 40 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 1st percentile – i.e., 1% 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 352,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.