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Attention Score in Context
| Title |
Association study of GRM7 polymorphisms and schizophrenia in the Chinese Han population
|
|---|---|
| Published in |
Neuroscience Letters, August 2015
|
| DOI | 10.1016/j.neulet.2015.07.047 |
| Pubmed ID | |
| Authors |
Weibo Niu, Xiaoye Huang, Tao Yu, Shiqing Chen, Xingwang Li, Xi Wu, Yanfei Cao, Rui Zhang, Yan Bi, Fengping Yang, Lu Wang, Weidong Li, Yifeng Xu, Lin He, Guang He |
| Abstract |
Schizophrenia is a severe and complex mental disorder with high heritability. There is an evidence that metabotropic glutamate receptors (GRM) are associated with schizophrenia. GRM7 has been identified as a candidate gene for many psychiatric disorders especially schizophrenia. In this study, we investigated whether single nucleotide polymorphisms (SNPs) in GRM7 were associated with schizophrenia. Four SNPs (rs9814881, rs13353402, rs9870680 and rs1531939) were genotyped in 1034 schizophrenic patients and 1034 healthy controls of Chinese Han origin. The results showed that the two SNPs rs13353402 and rs1531939 demonstrated significant difference between schizophrenic patients and control subjects in allele frequencies (rs13353402: P value = 0.0307, rs1531939: P value = 0.0328, respectively). Nevertheless, there was no significant discrepancies in genotype distribution. In summary, our results indicate that the GRM7 SNPs rs13353402 and rs1531939 might be associated with schizophrenia in Chinese Han population. |
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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 21% |
| Student > Ph. D. Student | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 4 | 21% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Medicine and Dentistry | 3 | 16% |
| Psychology | 2 | 11% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
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 December 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Neuroscience Letters
#6,782
of 7,756 outputs
Outputs of similar age
#236,070
of 275,990 outputs
Outputs of similar age from Neuroscience Letters
#67
of 100 outputs
Altmetric has tracked 25,371,288 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 7,756 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 100 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.