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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Longitudinal transcriptomic dysregulation in the peripheral blood of transgenic Huntington’s disease monkeys
|
|---|---|
| Published in |
BMC Neuroscience, August 2013
|
| DOI | 10.1186/1471-2202-14-88 |
| Pubmed ID | |
| Authors |
Jannet Kocerha, Yuhong Liu, David Willoughby, Kumaravel Chidamparam, Joseph Benito, Kate Nelson, Yan Xu, Tim Chi, Heidi Engelhardt, Sean Moran, Shang-Hsun Yang, Shi-Hua Li, Xiao-Jiang Li, Katherine Larkin, Adam Neumann, Heather Banta, Jin Jing Yang, Anthony WS Chan |
| Abstract |
Huntington's Disease (HD) is a progressive neurodegenerative disorder caused by an expansion in the polyglutamine (polyQ) region of the Huntingtin (HTT) gene. The clinical features of HD are characterized by cognitive, psychological, and motor deficits. Molecular instability, a core component in neurological disease progression, can be comprehensively evaluated through longitudinal transcriptomic profiling. Development of animal models amenable to longitudinal examination enables distinct disease-associated mechanisms to be identified. |
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 % |
|---|---|---|
| United States | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| India | 1 | 3% |
| Portugal | 1 | 3% |
| Unknown | 31 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Postgraduate | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 26% |
| Medicine and Dentistry | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Neuroscience | 4 | 11% |
| Psychology | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
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 22 August 2013.
All research outputs
#20,198,525
of 22,716,996 outputs
Outputs from BMC Neuroscience
#1,052
of 1,241 outputs
Outputs of similar age
#174,356
of 198,616 outputs
Outputs of similar age from BMC Neuroscience
#47
of 60 outputs
Altmetric has tracked 22,716,996 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 1,241 research outputs from this source. They receive a mean Attention Score of 4.3. 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 198,616 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 60 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.