| Title |
PopAffiliator: online calculator for individual affiliation to a major population group based on 17 autosomal short tandem repeat genotype profile
|
|---|---|
| Published in |
International Journal of Legal Medicine, June 2010
|
| DOI | 10.1007/s00414-010-0472-2 |
| Pubmed ID | |
| Authors |
Luísa Pereira, Farida Alshamali, Rune Andreassen, Ruth Ballard, Wasun Chantratita, Nam Soo Cho, Clotilde Coudray, Jean-Michel Dugoujon, Marta Espinoza, Fabricio González-Andrade, Sibte Hadi, Uta-Dorothee Immel, Catalin Marian, Antonio Gonzalez-Martin, Gerhard Mertens, Walther Parson, Carlos Perone, Lourdes Prieto, Haruo Takeshita, Héctor Rangel Villalobos, Zhaoshu Zeng, Lev Zhivotovsky, Rui Camacho, Nuno A. Fonseca |
| Abstract |
Because of their sensitivity and high level of discrimination, short tandem repeat (STR) maker systems are currently the method of choice in routine forensic casework and data banking, usually in multiplexes up to 15-17 loci. Constraints related to sample amount and quality, frequently encountered in forensic casework, will not allow to change this picture in the near future, notwithstanding the technological developments. In this study, we present a free online calculator named PopAffiliator ( http://cracs.fc.up.pt/popaffiliator ) for individual population affiliation in the three main population groups, Eurasian, East Asian and sub-Saharan African, based on genotype profiles for the common set of STRs used in forensics. This calculator performs affiliation based on a model constructed using machine learning techniques. The model was constructed using a data set of approximately fifteen thousand individuals collected for this work. The accuracy of individual population affiliation is approximately 86%, showing that the common set of STRs routinely used in forensics provide a considerable amount of information for population assignment, in addition to being excellent for individual identification. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Professor | 7 | 13% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Doctoral Student | 6 | 11% |
| Professor > Associate Professor | 6 | 11% |
| Other | 11 | 20% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 29% |
| Agricultural and Biological Sciences | 16 | 29% |
| Medicine and Dentistry | 4 | 7% |
| Unspecified | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 12 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 21 January 2024.
All research outputs
#2,426,951
of 25,204,049 outputs
Outputs from International Journal of Legal Medicine
#86
of 2,234 outputs
Outputs of similar age
#7,591
of 89,857 outputs
Outputs of similar age from International Journal of Legal Medicine
#2
of 6 outputs
Altmetric has tracked 25,204,049 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,234 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% 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 89,857 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.