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Variants in exons and in transcription factors affect gene expression in trans

Overview of attention for article published in Genome Biology, July 2013
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

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7 X users
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1 Google+ user

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72 Mendeley
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4 CiteULike
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Title
Variants in exons and in transcription factors affect gene expression in trans
Published in
Genome Biology, July 2013
DOI 10.1186/gb-2013-14-7-r71
Pubmed ID
Authors

Anat Kreimer, Itsik Pe'er

Abstract

In recent years many genetic variants (eSNPs) have been reported as associated with expression of transcripts in trans. However, the causal variants and regulatory mechanisms through which they act remain mostly unknown. In this paper we follow two kinds of usual suspects: SNPs that alter coding regions or transcription factors, identifiable by sequencing data with transcriptional profiles in the same cohort. We show these interpretable genomic regions are enriched for eSNP association signals, thereby naturally defining source-target gene pairs. We map these pairs onto a protein-protein interaction (PPI) network and study their topological properties.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 1 1%
Sri Lanka 1 1%
Canada 1 1%
Unknown 66 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 20 28%
Student > Master 7 10%
Professor 5 7%
Student > Postgraduate 5 7%
Other 12 17%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 50%
Biochemistry, Genetics and Molecular Biology 13 18%
Computer Science 8 11%
Medicine and Dentistry 3 4%
Mathematics 2 3%
Other 5 7%
Unknown 5 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2013.
All research outputs
#6,572,065
of 25,374,917 outputs
Outputs from Genome Biology
#3,131
of 4,467 outputs
Outputs of similar age
#51,804
of 206,565 outputs
Outputs of similar age from Genome Biology
#42
of 65 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 206,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.