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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data
|
|---|---|
| Published in |
Frontiers in Genetics, March 2015
|
| DOI | 10.3389/fgene.2015.00109 |
| Pubmed ID | |
| Authors |
Mario Barbato, Pablo Orozco-terWengel, Miika Tapio, Michael W. Bruford |
| Abstract |
Effective population size (Ne ) is a key population genetic parameter that describes the amount of genetic drift in a population. Estimating Ne has been subject to much research over the last 80 years. Methods to estimate Ne from linkage disequilibrium (LD) were developed ~40 years ago but depend on the availability of large amounts of genetic marker data that only the most recent advances in DNA technology have made available. Here we introduce SNeP, a multithreaded tool to perform the estimate of Ne using LD using the standard PLINK input file format (.ped and.map files) or by using LD values calculated using other software. Through SNeP the user can apply several corrections to take account of sample size, mutation, phasing, and recombination rate. Each variable involved in the computation such as the binning parameters or the chromosomes to include in the analysis can be modified. When applied to published datasets, SNeP produced results closely comparable with those obtained in the original studies. The use of SNeP to estimate Ne trends can improve understanding of population demography in the recent past, provided a sufficient number of SNPs and their physical position in the genome are available. Binaries for the most common operating systems are available at https://sourceforge.net/projects/snepnetrends/. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 29% |
| United States | 1 | 14% |
| France | 1 | 14% |
| Canada | 1 | 14% |
| Switzerland | 1 | 14% |
| United Kingdom | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 2 | <1% |
| United States | 2 | <1% |
| Germany | 1 | <1% |
| Ireland | 1 | <1% |
| Norway | 1 | <1% |
| Finland | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 386 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 23% |
| Researcher | 65 | 16% |
| Student > Master | 59 | 15% |
| Student > Doctoral Student | 28 | 7% |
| Student > Bachelor | 22 | 6% |
| Other | 61 | 15% |
| Unknown | 68 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 201 | 51% |
| Biochemistry, Genetics and Molecular Biology | 57 | 14% |
| Environmental Science | 19 | 5% |
| Veterinary Science and Veterinary Medicine | 10 | 3% |
| Computer Science | 5 | 1% |
| Other | 15 | 4% |
| Unknown | 88 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 01 January 2023.
All research outputs
#1,789,558
of 24,592,508 outputs
Outputs from Frontiers in Genetics
#373
of 13,253 outputs
Outputs of similar age
#23,050
of 267,893 outputs
Outputs of similar age from Frontiers in Genetics
#10
of 156 outputs
Altmetric has tracked 24,592,508 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,253 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 267,893 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 156 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 94% of its contemporaries.