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Novel principles of gamma-retroviral insertional transcription activation in murine leukemia virus-induced end-stage tumors

Overview of attention for article published in Retrovirology, May 2014
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Title
Novel principles of gamma-retroviral insertional transcription activation in murine leukemia virus-induced end-stage tumors
Published in
Retrovirology, May 2014
DOI 10.1186/1742-4690-11-36
Pubmed ID
Authors

Martin Sokol, Matthias Wabl, Irene Rius Ruiz, Finn Skou Pedersen

Abstract

Insertional mutagenesis screens of retrovirus-induced mouse tumors have proven valuable in human cancer research and for understanding adverse effects of retroviral-based gene therapies. In previous studies, the assignment of mouse genes to individual retroviral integration sites has been based on close proximity and expression patterns of annotated genes at target positions in the genome. We here employed next-generation RNA sequencing to map retroviral-mouse chimeric junctions genome-wide, and to identify local patterns of transcription activation in T-lymphomas induced by the murine leukemia gamma-retrovirus SL3-3. Moreover, to determine epigenetic integration preferences underlying long-range gene activation by retroviruses, the colocalization propensity with common epigenetic enhancer markers (H3K4Me1 and H3K27Ac) of 6,117 integrations derived from end-stage tumors of more than 2,000 mice was examined.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Brazil 1 3%
South Africa 1 3%
Denmark 1 3%
Spain 1 3%
United States 1 3%
Luxembourg 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 9 25%
Professor 4 11%
Other 3 8%
Student > Master 3 8%
Other 3 8%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 39%
Biochemistry, Genetics and Molecular Biology 7 19%
Computer Science 5 14%
Medicine and Dentistry 3 8%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 8%
Unknown 3 8%
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 20 May 2014.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Retrovirology
#1,079
of 1,274 outputs
Outputs of similar age
#177,000
of 240,993 outputs
Outputs of similar age from Retrovirology
#21
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 4th percentile – i.e., 4% 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 240,993 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.