| Title |
Significant associations between X-ray repair cross-complementing group 3 genetic polymorphisms and thyroid cancer risk
|
|---|---|
| Published in |
Tumor Biology, November 2013
|
| DOI | 10.1007/s13277-013-1266-1 |
| Pubmed ID | |
| Authors |
Xiao-Long Yu, Hu Liu, Bin Wang, Zheng-Ju Fu, Ying Yuan, Sheng-Li Yan, Wen-Juan Zhao, Yan-Gang Wang, Jianming Cai |
| Abstract |
Polymorphisms in X-ray cross-complementing group 3 (XRCC3) are proposed to be associated with cancer susceptibility, but previous studies on the associations between XRCC3 polymorphisms and thyroid cancer are controversial. We performed a systemic review and meta-analysis to investigate the associations of XRCC3 polymorphisms with thyroid cancer risk. We used odds ratio (OR) with 95 % confidence interval (95%CI) to assess the associations. For XRCC3 C241T polymorphism, meta-analysis of total eligible studies showed that there was no association between XRCC3 C241T polymorphism and thyroid cancer risk, but subgroup analysis in Caucasians showed that there was a significant association between XRCC3 C241T polymorphism and thyroid cancer risk (T versus C: OR = 1.30, 95%CI 1.05-1.62, P = 0.01; TT versus CC: OR = 1.74, 95%CI 1.13-2.70, P = 0.01; TT versus |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Master | 2 | 18% |
| Professor | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Engineering | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 4 | 36% |
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 29 November 2013.
All research outputs
#15,286,644
of 22,733,113 outputs
Outputs from Tumor Biology
#1,050
of 2,622 outputs
Outputs of similar age
#192,309
of 306,368 outputs
Outputs of similar age from Tumor Biology
#37
of 71 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
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We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.