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Mendeley readers
Attention Score in Context
| Title |
On the stability of the Bayenv method in assessing human SNP-environment associations
|
|---|---|
| Published in |
Human Genomics, January 2014
|
| DOI | 10.1186/1479-7364-8-1 |
| Pubmed ID | |
| Authors |
Lily M Blair, Julie M Granka, Marcus W Feldman |
| Abstract |
Phenotypic variation along environmental gradients has been documented among and within many species, and in some cases, genetic variation has been shown to be associated with these gradients. Bayenv is a relatively new method developed to detect patterns of polymorphisms associated with environmental gradients. Using a Bayesian Markov Chain Monte Carlo (MCMC) approach, Bayenv evaluates whether a linear model relating population allele frequencies to environmental variables is more probable than a null model based on observed frequencies of neutral markers. Although this method has been used to detect environmental adaptation in a number of species, including humans, plants, fish, and mosquitoes, stability between independent runs of this MCMC algorithm has not been characterized. In this paper, we explore the variability of results between runs and the factors contributing to it. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| United States | 2 | 2% |
| Austria | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| Chile | 1 | <1% |
| Unknown | 98 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 30% |
| Researcher | 21 | 20% |
| Student > Master | 12 | 11% |
| Professor > Associate Professor | 7 | 7% |
| Student > Bachelor | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 16 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 52% |
| Biochemistry, Genetics and Molecular Biology | 15 | 14% |
| Environmental Science | 6 | 6% |
| Engineering | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 18 | 17% |
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 05 September 2014.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Human Genomics
#438
of 564 outputs
Outputs of similar age
#233,264
of 318,831 outputs
Outputs of similar age from Human Genomics
#5
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 318,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.