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Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study

Overview of attention for article published in BMC Genomics, May 2008
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Citations

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30 Mendeley
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6 CiteULike
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Title
Trait-trait dynamic interaction: 2D-trait eQTL mapping for genetic variation study
Published in
BMC Genomics, May 2008
DOI 10.1186/1471-2164-9-242
Pubmed ID
Authors

Wei Sun, Shinsheng Yuan, Ker-Chau Li

Abstract

Many studies have shown that the abundance level of gene expression is heritable. Analogous to the traditional genetic study, most researchers treat the expression of one gene as a quantitative trait and map it to expression quantitative trait loci (eQTL). This is 1D-trait mapping. 1D-trait mapping ignores the trait-trait interaction completely, which is a major shortcoming.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Norway 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 5 17%
Professor 4 13%
Professor > Associate Professor 3 10%
Student > Doctoral Student 2 7%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 70%
Biochemistry, Genetics and Molecular Biology 3 10%
Mathematics 2 7%
Medicine and Dentistry 1 3%
Unknown 3 10%
Attention Score in Context

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 01 July 2008.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from BMC Genomics
#6,658
of 10,612 outputs
Outputs of similar age
#70,178
of 82,912 outputs
Outputs of similar age from BMC Genomics
#32
of 36 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 82,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.