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Mendeley readers
Attention Score in Context
| Title |
Genetic diversity is a predictor of mortality in humans
|
|---|---|
| Published in |
BMC Genomic Data, December 2014
|
| DOI | 10.1186/s12863-014-0159-7 |
| Pubmed ID | |
| Authors |
Nathan A Bihlmeyer, Jennifer A Brody, Albert Vernon Smith, Kathryn L Lunetta, Mike Nalls, Jennifer A Smith, Toshiko Tanaka, Gail Davies, Lei Yu, Saira Saeed Mirza, Alexander Teumer, Josef Coresh, James S Pankow, Nora Franceschini, Anish Scaria, Junko Oshima, Bruce M Psaty, Vilmundur Gudnason, Gudny Eiriksdottir, Tamara B Harris, Hanyue Li, David Karasik, Douglas P Kiel, Melissa Garcia, Yongmei Liu, Jessica D Faul, Sharon LR Kardia, Wei Zhao, Luigi Ferrucci, Michael Allerhand, David C Liewald, Paul Redmond, John M Starr, Philip L De Jager, Denis A Evans, Nese Direk, Mohammed Arfan Ikram, André Uitterlinden, Georg Homuth, Roberto Lorbeer, Hans J Grabe, Lenore Launer, Joanne M Murabito, Andrew B Singleton, David R Weir, Stefania Bandinelli, Ian J Deary, David A Bennett, Henning Tiemeier, Thomas Kocher, Thomas Lumley, Dan E Arking |
| Abstract |
BackgroundIt has been well-established, both by population genetics theory and direct observation in many organisms, that increased genetic diversity provides a survival advantage. However, given the limitations of both sample size and genome-wide metrics, this hypothesis has not been comprehensively tested in human populations. Moreover, the presence of numerous segregating small effect alleles that influence traits that directly impact health directly raises the question as to whether global measures of genomic variation are themselves associated with human health and disease.ResultsWe performed a meta-analysis of 17 cohorts followed prospectively, with a combined sample size of 46,716 individuals, including a total of 15,234 deaths. We find a significant association between increased heterozygosity and survival (P¿=¿0.03). We estimate that within a single population, every standard deviation of heterozygosity an individual has over the mean decreases that person¿s risk of death by 1.57%.ConclusionsThis effect was consistent between European and African ancestry cohorts, men and women, and major causes of death (cancer and cardiovascular disease), demonstrating the broad positive impact of genomic diversity on human survival. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| United Kingdom | 1 | 10% |
| Comoros | 1 | 10% |
| Finland | 1 | 10% |
| Australia | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 40% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 18% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 9 | 9% |
| Student > Postgraduate | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 30 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 14% |
| Agricultural and Biological Sciences | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Nursing and Health Professions | 7 | 7% |
| Psychology | 6 | 6% |
| Other | 17 | 18% |
| Unknown | 31 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 08 February 2017.
All research outputs
#2,305,406
of 25,374,647 outputs
Outputs from BMC Genomic Data
#56
of 1,204 outputs
Outputs of similar age
#30,932
of 360,002 outputs
Outputs of similar age from BMC Genomic Data
#3
of 42 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 95% 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 360,002 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 91% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.