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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating IBD tracts from low coverage NGS data
|
|---|---|
| Published in |
Bioinformatics, April 2016
|
| DOI | 10.1093/bioinformatics/btw212 |
| Pubmed ID | |
| Authors |
Filipe G Vieira, Anders Albrechtsen, Rasmus Nielsen |
| Abstract |
The amount of IBD in an individual depends on the relatedness of the individual's parents. However, it can also provide information regarding mating system, past history, and effective size of the population from which the individual has been sampled. Here, we present a new method for estimating inbreeding IBD tracts from low coverage NGS data. Contrary to other methods that use genotype data, the one presented here uses genotype likelihoods to take the uncertainty of the data into account. We benchmark it under a wide range of biologically relevant conditions and show that the new method provides a marked increase in accuracy even at low coverage. The methods presented in this work were implemented in C/C++ and are freely available for non-commercial use from https://github.com/fgvieira/ngsF-HMM CONTACT: [email protected]. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Italy | 1 | 17% |
| United States | 1 | 17% |
| Denmark | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 101 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 25% |
| Researcher | 20 | 20% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Other | 13 | 13% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 45% |
| Biochemistry, Genetics and Molecular Biology | 23 | 23% |
| Arts and Humanities | 2 | 2% |
| Computer Science | 2 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 23 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 July 2016.
All research outputs
#14,602,949
of 25,377,790 outputs
Outputs from Bioinformatics
#8,582
of 12,809 outputs
Outputs of similar age
#149,411
of 313,300 outputs
Outputs of similar age from Bioinformatics
#111
of 151 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 30th percentile – i.e., 30% 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 313,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.