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Effects of genome-wide copy number variation on expression in mammalian cells

Overview of attention for article published in BMC Genomics, November 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
1 CiteULike
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Title
Effects of genome-wide copy number variation on expression in mammalian cells
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-562
Pubmed ID
Authors

Richard T Wang, Sangtae Ahn, Christopher C Park, Arshad H Khan, Kenneth Lange, Desmond J Smith

Abstract

There is only a limited understanding of the relation between copy number and expression for mammalian genes. We fine mapped cis and trans regulatory loci due to copy number change for essentially all genes using a human-hamster radiation hybrid (RH) panel. These loci are called copy number expression quantitative trait loci (ceQTLs).

Twitter Demographics

The data shown below were collected from the profiles of 5 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
France 1 3%
Switzerland 1 3%
United Kingdom 1 3%
Germany 1 3%
Unknown 29 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 46%
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Professor > Associate Professor 4 11%
Student > Doctoral Student 2 6%
Other 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 77%
Biochemistry, Genetics and Molecular Biology 3 9%
Medicine and Dentistry 3 9%
Computer Science 2 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 November 2011.
All research outputs
#6,328,154
of 12,373,620 outputs
Outputs from BMC Genomics
#2,920
of 7,296 outputs
Outputs of similar age
#85,521
of 216,819 outputs
Outputs of similar age from BMC Genomics
#244
of 550 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 59% 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 216,819 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 60% of its contemporaries.
We're also able to compare this research output to 550 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 54% of its contemporaries.