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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association of TNF-alpha, IL-6 and IL-1beta gene polymorphisms with polycystic ovary syndrome: a meta-analysis
|
|---|---|
| Published in |
BMC Genomic Data, January 2015
|
| DOI | 10.1186/s12863-015-0165-4 |
| Pubmed ID | |
| Authors |
Renyong Guo, Ying Zheng, Jiezuan Yang, Nengneng Zheng |
| Abstract |
BackgroundSeveral studies on the association of TNF-alpha (¿308 G/A), IL-6 (¿174 G/C) and IL-1beta (¿511 C/T) polymorphisms with polycystic ovary syndrome (PCOS) risk have reported conflicting results. The aim of the present study was to assess these associations by meta-analysis.ResultsA total of 14 eligible articles (1665 cases/1687 controls) were included in this meta-analysis. The results suggested that there was no obvious association between the TNF-alpha (¿308 G/A) polymorphism and PCOS in the overall population or subgroup analysis by ethnicity, Hardy¿Weinberg equilibrium (HWE) in controls, genotyping method, PCOS diagnosis criteria, and study sample size. Also, no obvious association was found between the TNF-alpha (¿308 G/A) polymorphism and obesity in patients with PCOS (body mass index [BMI]¿¿¿25 kg/m2 vs. BMI¿<¿25 kg/m2). Regarding the IL-6 (¿174 G/C) polymorphism, also no association was found in the overall population in heterozygote comparison, dominant model, and recessive model. Even though an allelic model (odds ratio [OR]¿=¿0.63, 95% confidence interval [CI]¿=¿0.41¿0.96) and a homozygote comparison (OR¿=¿0.52, 95% CI¿=¿0.30¿0.93) showed that the IL-6 (¿174 G/C) polymorphism was marginally associated with PCOS. Further subgroup analysis suggested that the effect size was not significant among HWE in controls (sample size¿¿¿200) and genotyping method of pyrosequencing under all genetic models. Similarly, there was no association between the IL-1beta (¿511 C/T) polymorphism and PCOS in the overall population or subgroup analysis under all genetic models. Furthermore, no significant association was found between the IL-1beta (¿511 C/T) polymorphism and several clinical and biochemical parameters in patients with PCOS.ConclusionsThe results of this meta-analysis suggest that the TNF-alpha (¿308 G/A), IL-6 (¿174 G/C), and IL-1beta (¿511 C/T) polymorphisms may not be associated with PCOS risk. However, further case¿control studies with larger sample sizes are needed to confirm our results. |
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 % |
|---|---|---|
| Canada | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| India | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 24% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Bachelor | 7 | 12% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 27% |
| Medicine and Dentistry | 11 | 19% |
| Agricultural and Biological Sciences | 8 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 12 | 20% |
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 03 June 2015.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from BMC Genomic Data
#549
of 1,204 outputs
Outputs of similar age
#201,152
of 361,478 outputs
Outputs of similar age from BMC Genomic Data
#9
of 29 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 361,478 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.