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Attention Score in Context
| Title |
PopPAnTe: population and pedigree association testing for quantitative data
|
|---|---|
| Published in |
BMC Genomics, February 2017
|
| DOI | 10.1186/s12864-017-3527-7 |
| Pubmed ID | |
| Authors |
Alessia Visconti, Mashael Al-Shafai, Wadha A. Al Muftah, Shaza B. Zaghlool, Massimo Mangino, Karsten Suhre, Mario Falchi |
| Abstract |
Family-based designs, from twin studies to isolated populations with their complex genealogical data, are a valuable resource for genetic studies of heritable molecular biomarkers. Existing software for family-based studies have mainly focused on facilitating association between response phenotypes and genetic markers, and no user-friendly tools are at present available to straightforwardly extend association studies in related samples to large datasets of generic quantitative data, as those generated by current -omics technologies. We developed PopPAnTe, a user-friendly Java program, which evaluates the association of quantitative data in related samples. Additionally, PopPAnTe implements data pre and post processing, region based testing, and empirical assessment of associations. PopPAnTe is an integrated and flexible framework for pairwise association testing in related samples with a large number of predictors and response variables. It works either with family data of any size and complexity, or, when the genealogical information is unknown, it uses genetic similarity information between individuals as those inferred from genome-wide genetic data. It can therefore be particularly useful in facilitating usage of biobank data collections from population isolates when extensive genealogical information is missing. |
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 % |
|---|---|---|
| Qatar | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 37% |
| Researcher | 5 | 26% |
| Other | 1 | 5% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 42% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Environmental Science | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 March 2017.
All research outputs
#20,410,007
of 22,959,818 outputs
Outputs from BMC Genomics
#9,311
of 10,686 outputs
Outputs of similar age
#357,991
of 422,717 outputs
Outputs of similar age from BMC Genomics
#186
of 235 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.