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Mendeley readers
Attention Score in Context
| Title |
Efficient analysis of large datasets and sex bias with ADMIXTURE
|
|---|---|
| Published in |
BMC Bioinformatics, May 2016
|
| DOI | 10.1186/s12859-016-1082-x |
| Pubmed ID | |
| Authors |
Suyash S. Shringarpure, Carlos D. Bustamante, Kenneth Lange, David H. Alexander |
| Abstract |
A number of large genomic datasets are being generated for studies of human ancestry and diseases. The ADMIXTURE program is commonly used to infer individual ancestry from genomic data. We describe two improvements to the ADMIXTURE software. The first enables ADMIXTURE to infer ancestry for a new set of individuals using cluster allele frequencies from a reference set of individuals. Using data from the 1000 Genomes Project, we show that this allows ADMIXTURE to infer ancestry for 10,920 individuals in a few hours (a 5 × speedup). This mode also allows ADMIXTURE to correctly estimate individual ancestry and allele frequencies from a set of related individuals. The second modification allows ADMIXTURE to correctly handle X-chromosome (and other haploid) data from both males and females. We demonstrate increased power to detect sex-biased admixture in African-American individuals from the 1000 Genomes project using this extension. These modifications make ADMIXTURE more efficient and versatile, allowing users to extract more information from large genomic datasets. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| China | 1 | 2% |
| Unknown | 53 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 29% |
| Student > Ph. D. Student | 15 | 26% |
| Student > Bachelor | 8 | 14% |
| Student > Master | 7 | 12% |
| Other | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 3 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 40% |
| Biochemistry, Genetics and Molecular Biology | 17 | 29% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 2 | 3% |
| Arts and Humanities | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 8 | 14% |
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 25 May 2016.
All research outputs
#14,851,946
of 22,873,031 outputs
Outputs from BMC Bioinformatics
#5,056
of 7,297 outputs
Outputs of similar age
#197,775
of 333,421 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 100 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 333,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
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 is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.