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 |
Association study between SNP rs150689919 in the DNA demethylation gene, TET1, and Parkinson’s disease in Chinese Han population
|
---|---|
Published in |
BMC Neurology, December 2013
|
DOI | 10.1186/1471-2377-13-196 |
Pubmed ID | |
Authors |
Xin-xin Liao, Zi-xiong Zhan, Ying-ying Luo, Kai Li, Jun-ling Wang, Ji-feng Guo, Xin-xiang Yan, Kun Xia, Bei-sha Tang, Lu Shen |
Abstract |
Recent studies suggest that epigenetic factors may play an important role in the pathogenesis of Parkinson's disease (PD). In our previous work, we sequenced the exomes of sixteen patients from eight Chinese PD families using whole exome sequencing technology, consequently three patients from different pedigrees were found sharing the variant c.1460C > T (rs150689919) in the coding region of the Tet methyl cytosine dioxygenase 1 (TET1) gene. |
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 % |
---|---|---|
Egypt | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 4% |
Unknown | 27 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 32% |
Student > Master | 5 | 18% |
Researcher | 3 | 11% |
Student > Doctoral Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 3 | 11% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 21% |
Medicine and Dentistry | 5 | 18% |
Neuroscience | 4 | 14% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Computer Science | 2 | 7% |
Other | 3 | 11% |
Unknown | 6 | 21% |
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 11 December 2013.
All research outputs
#14,184,832
of 22,736,112 outputs
Outputs from BMC Neurology
#1,217
of 2,426 outputs
Outputs of similar age
#176,162
of 307,039 outputs
Outputs of similar age from BMC Neurology
#34
of 72 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,426 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 45th percentile – i.e., 45% 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 307,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.