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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Studying Huntington’s Disease in Yeast: From Mechanisms to Pharmacological Approaches
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, September 2018
|
| DOI | 10.3389/fnmol.2018.00318 |
| Pubmed ID | |
| Authors |
Sebastian Hofer, Katharina Kainz, Andreas Zimmermann, Maria A. Bauer, Tobias Pendl, Michael Poglitsch, Frank Madeo, Didac Carmona-Gutierrez |
| Abstract |
Huntington's disease (HD) is a neurodegenerative disorder that leads to progressive neuronal loss, provoking impaired motor control, cognitive decline, and dementia. So far, HD remains incurable, and available drugs are effective only for symptomatic management. HD is caused by a mutant form of the huntingtin protein, which harbors an elongated polyglutamine domain and is highly prone to aggregation. However, many aspects underlying the cytotoxicity of mutant huntingtin (mHTT) remain elusive, hindering the efficient development of applicable interventions to counteract HD. An important strategy to obtain molecular insights into human disorders in general is the use of eukaryotic model organisms, which are easy to genetically manipulate and display a high degree of conservation regarding disease-relevant cellular processes. The budding yeast Saccharomyces cerevisiae has a long-standing and successful history in modeling a plethora of human maladies and has recently emerged as an effective tool to study neurodegenerative disorders, including HD. Here, we summarize some of the most important contributions of yeast to HD research, specifically concerning the elucidation of mechanistic features of mHTT cytotoxicity and the potential of yeast as a platform to screen for pharmacological agents against HD. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 14 | 16% |
| Student > Master | 10 | 11% |
| Researcher | 7 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 15% |
| Unknown | 26 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 34% |
| Agricultural and Biological Sciences | 12 | 13% |
| Neuroscience | 5 | 6% |
| Medicine and Dentistry | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 September 2018.
All research outputs
#13,626,495
of 23,103,436 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,328
of 2,931 outputs
Outputs of similar age
#171,169
of 335,391 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#69
of 133 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,931 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 51% 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 335,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.