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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between the g.296596G > A genetic variant of RELN gene and susceptibility to autism in a Chinese Han population
|
|---|---|
| Published in |
Genetics and Molecular Biology, September 2013
|
| DOI | 10.1590/s1415-47572013005000037 |
| Pubmed ID | |
| Authors |
Xiaoyan Fu, Zhu Mei, Lixin Sun |
| Abstract |
Autism is a childhood neuro-developmental disorder, and Reelin (RELN) is an important candidate gene for influencing autism. This study aimed at investigating the influence of genetic variants of the RELN gene on autism susceptibility. In this study, 205 autism patients and 210 healthy controls were recruited and the genetic variants of the RELN gene were genotyped by the created restriction site-polymerase chain reaction (CRS-PCR) method. The influence of genetic variants on autism susceptibility was analyzed by association analysis, and the g.296596G > A genetic variant in exon10 of the RELN gene was detected. The frequencies of allele/genotype in autistic patients were significantly different from those in healthy controls, and a statistically significant association was detected between this genetic variant and autism susceptibility. Our data lead to the inference that the g.296596G > A genetic variant in the RELN gene has a potential influence on autism susceptibility in the 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 % |
|---|---|---|
| United Kingdom | 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Postgraduate | 3 | 13% |
| Researcher | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Neuroscience | 3 | 13% |
| Agricultural and Biological Sciences | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
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 December 2013.
All research outputs
#22,756,649
of 25,368,786 outputs
Outputs from Genetics and Molecular Biology
#647
of 771 outputs
Outputs of similar age
#185,569
of 208,961 outputs
Outputs of similar age from Genetics and Molecular Biology
#5
of 5 outputs
Altmetric has tracked 25,368,786 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 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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