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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome–wide association study for risk taking propensity indicates shared pathways with body mass index
|
|---|---|
| Published in |
Communications Biology, May 2018
|
| DOI | 10.1038/s42003-018-0042-6 |
| Pubmed ID | |
| Authors |
Emma A. D. Clifton, John R. B. Perry, Fumiaki Imamura, Luca A. Lotta, Soren Brage, Nita G. Forouhi, Simon J. Griffin, Nicholas J. Wareham, Ken K. Ong, Felix R. Day |
| Abstract |
Risk-taking propensity is a trait of significant public health relevance but few specific genetic factors are known. Here we perform a genome-wide association study of self-reported risk-taking propensity among 436,236 white European UK Biobank study participants. We identify genome-wide associations at 26 loci (P < 5 × 10-8), 24 of which are novel, implicating genes enriched in the GABA and GABA receptor pathways. Modelling the relationship between risk-taking propensity and body mass index (BMI) using Mendelian randomisation shows a positive association (0.25 approximate SDs of BMI (SE: 0.06); P = 6.7 × 10-5). The impact of individual SNPs is heterogeneous, indicating a complex relationship arising from multiple shared pathways. We identify positive genetic correlations between risk-taking and waist-hip ratio, childhood obesity, ever smoking, attention-deficit hyperactivity disorder, bipolar disorder and schizophrenia, alongside a negative correlation with women's age at first birth. These findings highlight that behavioural pathways involved in risk-taking propensity may play a role in obesity, smoking and psychiatric disorders. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 3 | 15% |
| Canada | 3 | 15% |
| Mexico | 2 | 10% |
| Japan | 1 | 5% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 45% |
| Scientists | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 17% |
| Student > Ph. D. Student | 14 | 13% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 30 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 15% |
| Medicine and Dentistry | 13 | 13% |
| Biochemistry, Genetics and Molecular Biology | 12 | 12% |
| Neuroscience | 4 | 4% |
| Social Sciences | 4 | 4% |
| Other | 16 | 15% |
| Unknown | 39 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 07 December 2018.
All research outputs
#782,145
of 25,595,500 outputs
Outputs from Communications Biology
#624
of 5,681 outputs
Outputs of similar age
#17,142
of 339,491 outputs
Outputs of similar age from Communications Biology
#12
of 53 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,681 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.9. This one has done well, scoring higher than 89% 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 339,491 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.