↓ Skip to main content

Autosomal monoallelic expression in the mouse

Overview of attention for article published in Genome Biology (Online Edition), January 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
94 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Autosomal monoallelic expression in the mouse
Published in
Genome Biology (Online Edition), January 2012
DOI 10.1186/gb-2012-13-2-r10
Pubmed ID
Authors

Lillian M Zwemer, Alexander Zak, Benjamin R Thompson, Andrew Kirby, Mark J Daly, Andrew Chess, Alexander A Gimelbrant

Abstract

Random monoallelic expression defines an unusual class of genes displaying random choice for expression between the maternal and paternal alleles. Once established, the allele-specific expression pattern is stably maintained and mitotically inherited. Examples of random monoallelic genes include those found on the X-chromosome and a subset of autosomal genes, which have been most extensively studied in humans. Here, we report a genome-wide analysis of random monoallelic expression in the mouse. We used high density mouse genome polymorphism mapping arrays to assess allele-specific expression in clonal cell lines derived from heterozygous mouse strains.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Sweden 1 1%
France 1 1%
Portugal 1 1%
Unknown 87 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 30%
Student > Ph. D. Student 21 22%
Professor > Associate Professor 10 11%
Professor 8 9%
Student > Master 8 9%
Other 14 15%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 52%
Biochemistry, Genetics and Molecular Biology 25 27%
Medicine and Dentistry 7 7%
Unspecified 2 2%
Neuroscience 2 2%
Other 3 3%
Unknown 6 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 August 2014.
All research outputs
#733,374
of 8,892,217 outputs
Outputs from Genome Biology (Online Edition)
#885
of 2,458 outputs
Outputs of similar age
#7,249
of 97,304 outputs
Outputs of similar age from Genome Biology (Online Edition)
#21
of 59 outputs
Altmetric has tracked 8,892,217 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.3. This one has gotten more attention than average, scoring higher than 63% of its peers.
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 97,304 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.