You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Natural genetic variation determines susceptibility to aggregation or toxicity in a C. elegansmodel for polyglutamine disease
|
---|---|
Published in |
BMC Biology, September 2013
|
DOI | 10.1186/1741-7007-11-100 |
Pubmed ID | |
Authors |
Tali Gidalevitz, Ning Wang, Tanuja Deravaj, Jasmine Alexander-Floyd, Richard I Morimoto |
Abstract |
Monogenic gain-of-function protein aggregation diseases, including Huntington's disease, exhibit substantial variability in age of onset, penetrance, and clinical symptoms, even between individuals with similar or identical mutations. This difference in phenotypic expression of proteotoxic mutations is proposed to be due, at least in part, to the variability in genetic background. To address this, we examined the role of natural variation in defining the susceptibility of genetically diverse individuals to protein aggregation and toxicity, using the Caenorhabditis elegans polyglutamine model. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Venezuela, Bolivarian Republic of | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Hungary | 1 | 2% |
Belgium | 1 | 2% |
Unknown | 60 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 26% |
Researcher | 12 | 19% |
Student > Master | 8 | 13% |
Student > Bachelor | 6 | 10% |
Other | 5 | 8% |
Other | 10 | 16% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 37% |
Biochemistry, Genetics and Molecular Biology | 22 | 35% |
Engineering | 2 | 3% |
Chemistry | 2 | 3% |
Linguistics | 1 | 2% |
Other | 6 | 10% |
Unknown | 6 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 April 2020.
All research outputs
#2,700,687
of 25,986,827 outputs
Outputs from BMC Biology
#3
of 30 outputs
Outputs of similar age
#23,451
of 220,054 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30 research outputs from this source. They receive a mean Attention Score of 4.3. This one scored the same or higher as 27 of them.
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 220,054 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them