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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Susceptible gene of stasis-stagnation constitution from genome-wide association study related to cardiovascular disturbance and possible regulated traditional Chinese medicine
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, July 2015
|
| DOI | 10.1186/s12906-015-0761-x |
| Pubmed ID | |
| Authors |
Kuo-Chin Huang, Hung-Jin Huang, Ching-Chu Chen, Chwen-Tzuei Chang, Tzu-Yuan Wang, Rong-Hsing Chen, Yu-Chian Chen, Fuu-Jen Tsai |
| Abstract |
This study identified susceptible loci related to the Yu-Zhi (YZ) constitution, which indicates stasis-stagnation, found in a genome-wide association study (GWAS) in patients with type 2 diabetes and possible regulated traditional Chinese medicine (TCM) using docking and molecular dynamics (MD) simulation. Non-aboriginal Taiwanese with type 2 diabetes were recruited. Components of the YZ constitution were assessed by a self-reported questionnaire. Genome-wide SNP genotypes were obtained using the Illumina HumanHap550 platform. The world's largest TCM database ( http://tcm.cmu.edu.tw/ ) was employed to investigate potential compounds for PON2 interactions. The study involved 1,021 unrelated individuals with type 2 diabetes. Genotyping data were obtained from 947 of the 1,021 participants. The GWAS identified 22 susceptible single nucleotide polymorphisms on 13 regions of 11 chromosomes for the YZ constitution. Genotypic distribution showed that PON2 on chromosome 7 was most significantly associated with the risk of the YZ constitution. Docking and MD simulation indicated 13-hydroxy-(9E_11E)-octadecadienoic acid was the most stable TCM ligand. Risk loci occurred in PON2, which has antioxidant properties that might protect against atherosclerosis and hyperglycemia, showing it is a susceptible gene for the YZ constitution and possible regulation by 13-hydroxy-(9E_11E)-octadecadienoic acid. |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 19% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Doctoral Student | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Agricultural and Biological Sciences | 2 | 8% |
| Philosophy | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
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 15 July 2015.
All research outputs
#18,418,919
of 22,817,213 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,511
of 3,630 outputs
Outputs of similar age
#189,096
of 262,658 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#65
of 97 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,630 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 17th percentile – i.e., 17% 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 262,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.