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Monitoring the Efficacy of Oncolytic Viruses via Gene Expression

Overview of attention for article published in Frontiers in oncology, November 2017
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Title
Monitoring the Efficacy of Oncolytic Viruses via Gene Expression
Published in
Frontiers in oncology, November 2017
DOI 10.3389/fonc.2017.00264
Pubmed ID
Authors

Ashley Ansel, Joshua P. Rosenzweig, Philip D. Zisman, Beni Gesundheit

Abstract

With the recent success of oncolytic viruses in clinical trials, efforts toward improved monitoring of the viruses and their mechanism have intensified. Four main gene expression strategies have been employed to date including: analyzing overall gene expression in tumor cells, looking at gene expression of a few specific genes in the tumor cells, focusing on gene expression of specific transgenes introduced into the virus, and following gene expression of certain viral genes. Each strategy presents certain advantages and disadvantages over the others. Various methods to organize the dysregulated genes into clusters have provided a window into the mechanism of action for these viruses. Methodologically, the combined approach of looking at both overall gene expression, the tumor cells and gene expression of viral genes, enables researchers to assess correlation between the introduction of the virus and the changes in the tumor. This would seem to be the most productive approach for future studies, providing much information on mechanism and timing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 18%
Researcher 3 18%
Student > Ph. D. Student 1 6%
Student > Master 1 6%
Unknown 9 53%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 18%
Medicine and Dentistry 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Immunology and Microbiology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 9 53%
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 06 November 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in oncology
#15,925
of 22,428 outputs
Outputs of similar age
#300,725
of 342,377 outputs
Outputs of similar age from Frontiers in oncology
#68
of 93 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,428 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 342,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.