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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association between brain-derived neurotrophic factor genetic polymorphism Val66Met and susceptibility to bipolar disorder: a meta-analysis
|
|---|---|
| Published in |
BMC Psychiatry, December 2014
|
| DOI | 10.1186/s12888-014-0366-9 |
| Pubmed ID | |
| Authors |
Zuowei Wang, Zezhi Li, Keming Gao, Yiru Fang |
| Abstract |
BackgroundIn view of previous conflicting findings, this meta-analysis was performed to comprehensively determine the overall strength of associations between brain-derived neurotrophic factor (BDNF) genetic polymorphism Val66Met and susceptibility to bipolar disorders (BPD).MethodsLiteratures published and cited in Pubmed and Wanfang Data was searched with terms of `Val66Met¿, `G196A¿, `rs6265¿, `BDNF¿, `association¿, and `bipolar disorder¿ up to March 2014. All original case¿control association studies were meta-analyzed with a pooled OR to estimate the risk and 95% confidence interval (CI) to reflect the magnitude of variance.ResultsTwenty-one case¿control association studies met our criteria for the meta-analysis. Overall, there was no significant difference in allelic distribution of Val66Met polymorphism between patients and controls with a pooled OR¿=¿1.03 (95% CI 0.98, 1.08) although there was a trend towards association between Val66Met polymorphism and BPD in Caucasians with an OR of 1.08 (95% CI 1.00, 1.16). However, subgroup analyses showed that there was a significant association of Val allele with decreased disease susceptibility for bipolar disorder type II with a pooled OR of 0.88 (95% CI 0.78, 0.99).ConclusionsThere is no compelling evidence to supportVal66Met polymorphism in BDNF gene playing an important role in the susceptibility to BPD across different ethnicities. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Doctoral Student | 8 | 15% |
| Student > Bachelor | 7 | 13% |
| Other | 4 | 7% |
| Researcher | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Neuroscience | 7 | 13% |
| Agricultural and Biological Sciences | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 18 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 09 January 2018.
All research outputs
#5,496,026
of 25,547,904 outputs
Outputs from BMC Psychiatry
#2,176
of 5,484 outputs
Outputs of similar age
#71,307
of 360,811 outputs
Outputs of similar age from BMC Psychiatry
#34
of 100 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 59% 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 360,811 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
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 has gotten more attention than average, scoring higher than 66% of its contemporaries.