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Epigenetic control of Epstein–Barr virus transcription – relevance to viral life cycle?

Overview of attention for article published in Frontiers in Genetics, January 2013
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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6 X users

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21 Mendeley
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Title
Epigenetic control of Epstein–Barr virus transcription – relevance to viral life cycle?
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00161
Pubmed ID
Authors

Alison J. Sinclair

Abstract

DNA methylation normally leads to silencing of gene expression but Epstein-Barr virus (EBV) provides an exception to the epigenetic paradigm. DNA methylation is absolutely required for the expression of many viral genes. Although the viral genome is initially un-methylated in newly infected cells, it becomes extensively methylated during the establishment of viral latency. One of the major regulators of EBV gene expression is a viral transcription factor called Zta (BZLF1, ZEBRA, Z) that resembles the cellular AP1 transcription factor. Zta recognizes at least 32 variants of a 7-nucleotide DNA sequence element, the Zta-response element (ZRE), some of which contain a CpG motif. Zta only binds to the latter class of ZREs in their DNA-methylated form, whether they occur in viral or cellular promoters and is functionally relevant for the activity of these promoters. The ability of Zta to interpret the differential DNA methylation of the viral genome is paramount for both the establishment of viral latency and the release from latency to initiate viral replication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Switzerland 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 19%
Student > Master 4 19%
Researcher 4 19%
Student > Ph. D. Student 3 14%
Professor 1 5%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 43%
Agricultural and Biological Sciences 6 29%
Medicine and Dentistry 1 5%
Unknown 5 24%
Attention Score in Context

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 01 September 2013.
All research outputs
#13,468,852
of 24,072,790 outputs
Outputs from Frontiers in Genetics
#2,725
of 12,919 outputs
Outputs of similar age
#158,092
of 288,209 outputs
Outputs of similar age from Frontiers in Genetics
#109
of 318 outputs
Altmetric has tracked 24,072,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,919 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 78% 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 288,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 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 65% of its contemporaries.