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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Properties of permutation-based gene tests and controlling type 1 error using a summary statistic based gene test
|
|---|---|
| Published in |
BMC Genomic Data, November 2013
|
| DOI | 10.1186/1471-2156-14-108 |
| Pubmed ID | |
| Authors |
David M Swanson, Deborah Blacker, Taofik AlChawa, Kerstin U Ludwig, Elisabeth Mangold, Christoph Lange |
| Abstract |
The advent of genome-wide association studies has led to many novel disease-SNP associations, opening the door to focused study on their biological underpinnings. Because of the importance of analyzing these associations, numerous statistical methods have been devoted to them. However, fewer methods have attempted to associate entire genes or genomic regions with outcomes, which is potentially more useful knowledge from a biological perspective and those methods currently implemented are often permutation-based. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Postgraduate | 3 | 17% |
| Other | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 33% |
| Computer Science | 2 | 11% |
| Nursing and Health Professions | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 4 | 22% |
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 18 November 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Genomic Data
#861
of 1,204 outputs
Outputs of similar age
#172,319
of 228,798 outputs
Outputs of similar age from BMC Genomic Data
#14
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 is in the 16th percentile – i.e., 16% 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 228,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.