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Mendeley readers
Attention Score in Context
| Title |
Variance heterogeneity analysis for detection of potentially interacting genetic loci: method and its limitations
|
|---|---|
| Published in |
BMC Genomic Data, October 2010
|
| DOI | 10.1186/1471-2156-11-92 |
| Pubmed ID | |
| Authors |
Maksim V Struchalin, Abbas Dehghan, Jacqueline CM Witteman, Cornelia van Duijn, Yurii S Aulchenko |
| Abstract |
Presence of interaction between a genotype and certain factor in determination of a trait's value, it is expected that the trait's variance is increased in the group of subjects having this genotype. Thus, test of heterogeneity of variances can be used as a test to screen for potentially interacting single-nucleotide polymorphisms (SNPs). In this work, we evaluated statistical properties of variance heterogeneity analysis in respect to the detection of potentially interacting SNPs in a case when an interaction variable is unknown. |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 75 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 29% |
| Researcher | 17 | 21% |
| Professor | 8 | 10% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 53% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Medicine and Dentistry | 6 | 8% |
| Environmental Science | 2 | 3% |
| Arts and Humanities | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 14 | 18% |
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 22 April 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Genomic Data
#1,008
of 1,204 outputs
Outputs of similar age
#102,533
of 107,995 outputs
Outputs of similar age from BMC Genomic Data
#5
of 5 outputs
Altmetric has tracked 25,374,647 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 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 107,995 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.