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Analysis of expressed SNPs identifies variable extents of expression from the human inactive X chromosome

Overview of attention for article published in Genome Biology, November 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

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1 Facebook page
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1 Wikipedia page

Citations

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147 Dimensions

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121 Mendeley
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Title
Analysis of expressed SNPs identifies variable extents of expression from the human inactive X chromosome
Published in
Genome Biology, November 2013
DOI 10.1186/gb-2013-14-11-r122
Pubmed ID
Authors

Allison M Cotton, Bing Ge, Nicholas Light, Veronique Adoue, Tomi Pastinen, Carolyn J Brown

Abstract

X-chromosome inactivation (XCI) results in the silencing of most genes on one X chromosome, yielding mono-allelic expression in individual cells. However, random XCI results in expression of both alleles in most females. Allelic imbalances have been used genome-wide to detect mono-allelically expressed genes. Analysis of X-linked allelic imbalance in females with skewed XCI offers the opportunity to identify genes that escape XCI with bi-allelic expression in contrast to those with mono-allelic expression and which are therefore subject to XCI.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 27%
Student > Bachelor 16 13%
Researcher 15 12%
Student > Master 14 12%
Student > Postgraduate 6 5%
Other 16 13%
Unknown 21 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 30%
Biochemistry, Genetics and Molecular Biology 35 29%
Medicine and Dentistry 9 7%
Neuroscience 5 4%
Immunology and Microbiology 3 2%
Other 7 6%
Unknown 26 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2019.
All research outputs
#8,261,756
of 25,371,288 outputs
Outputs from Genome Biology
#3,444
of 4,467 outputs
Outputs of similar age
#73,673
of 226,635 outputs
Outputs of similar age from Genome Biology
#38
of 51 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th 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 22nd percentile – i.e., 22% 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 226,635 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 66% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.