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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inferring haplotypes and parental genotypes in larger full sib-ships and other pedigrees with missing or erroneous genotype data
|
|---|---|
| Published in |
BMC Genomic Data, October 2012
|
| DOI | 10.1186/1471-2156-13-85 |
| Pubmed ID | |
| Authors |
Carl Nettelblad |
| Abstract |
In many contexts, pedigrees for individuals are known even though not all individuals have been fully genotyped. In one extreme case, the genotypes for a set of full siblings are known, with no knowledge of parental genotypes. We propose a method for inferring phased haplotypes and genotypes for all individuals, even those with missing data, in such pedigrees, allowing a multitude of classic and recent methods for linkage and genome analysis to be used more efficiently. |
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 % |
|---|---|---|
| Sweden | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Sweden | 2 | 4% |
| Netherlands | 1 | 2% |
| Italy | 1 | 2% |
| Finland | 1 | 2% |
| Germany | 1 | 2% |
| Denmark | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 36 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 32% |
| Student > Ph. D. Student | 10 | 21% |
| Other | 5 | 11% |
| Professor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 53% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Mathematics | 3 | 6% |
| Psychology | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 6 | 13% |
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 27 April 2022.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from BMC Genomic Data
#548
of 1,204 outputs
Outputs of similar age
#116,525
of 191,533 outputs
Outputs of similar age from BMC Genomic Data
#9
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 50% 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 191,533 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 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.