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Mendeley readers
Attention Score in Context
| Title |
Genetic analysis of polymorphisms in the kalirin gene for association with age-at-onset in European Huntington disease patients
|
|---|---|
| Published in |
BMC Medical Genomics, June 2012
|
| DOI | 10.1186/1471-2350-13-48 |
| Pubmed ID | |
| Authors |
Yu-Chun Tsai, Silke Metzger, Olaf Riess, Anne S Soehn, Huu Phuc Nguyen |
| Abstract |
Huntington disease (HD) is caused by an expanded CAG repeat in the HD gene. Although the length of the CAG repeat strongly correlates with the age-at-onset (AAO), AAO in HD individuals may differ dramatically in spite of similar expanded CAG repeat lengths. Additional genetic or environmental factors are thought to influence the disease onset. Several modifier genes have been discovered so far but they do not fully explain the variability of AAO in HD. To potentially identify a novel genetic modifier, we analyzed single nucleotide polymorphisms (SNPs) in the kalirin (KALRN) gene. Kalirin is a protein crucially involved in spine plasticity and its interaction with huntingtin-associated protein-1 (HAP-1) and a potential protein dysfunction might contribute to spine pathogenesis in HD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 22% |
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Other | 1 | 3% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 25% |
| Agricultural and Biological Sciences | 6 | 19% |
| Neuroscience | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 25% |
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 26 June 2012.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#116,618
of 177,445 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 35 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.