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RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation

Overview of attention for article published in Data in Brief, May 2017
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Title
RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation
Published in
Data in Brief, May 2017
DOI 10.1016/j.gdata.2017.05.012
Pubmed ID
Authors

An T Phan, Delsy M Martinez, Jj L Miranda

Abstract

The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipeline for functional identification of EBV true late genes, the last step of transcription prior to virion packaging and egress. All data have been uploaded to the Gene Expression Omnibus under accession code GSE96689. The key improvement over previous approaches is leveraging the sensitivity of RNA-seq to detect gene expression changes during spontaneous reactivation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Master 2 40%
Unknown 1 20%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Environmental Science 1 20%
Computer Science 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%
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 01 June 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Data in Brief
#2,357
of 3,680 outputs
Outputs of similar age
#249,975
of 324,616 outputs
Outputs of similar age from Data in Brief
#42
of 68 outputs
Altmetric has tracked 25,382,440 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 3,680 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 20th percentile – i.e., 20% 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 324,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.