↓ Skip to main content

Modeling oncolytic virotherapy: Is complete tumor-tropism too much of a good thing?

Overview of attention for article published in Journal of Theoretical Biology, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
f1000
1 research highlight platform

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Modeling oncolytic virotherapy: Is complete tumor-tropism too much of a good thing?
Published in
Journal of Theoretical Biology, May 2014
DOI 10.1016/j.jtbi.2014.04.030
Pubmed ID
Authors
Abstract

The specific targeting of tumor cells by replication-competent oncolytic viruses is considered indispensable for realizing the potential of oncolytic virotherapy. Yet off-target infections by oncolytic viruses may increase virus production, further reducing tumor load. This ability may be critical when tumor-cell scarcity or the onset of an adaptive immune response constrain viral anti-tumoral efficacy. Here we develop a mathematical framework for assessing whether oncolytic viruses with reduced tumor-specificity can more effectively eliminate tumors while keeping losses to normal cell populations low. We find viruses that infect some normal cells can potentially balance the competing goals of tumor elimination and minimizing the effects on normal cell populations. Particularly when infected tissues can be regenerated, moderating rather than completely eliminating the ability of oncolytic viruses to infect and lyse normal cells could improve cancer treatment, with potentially fewer side-effects than conventional treatments such as chemotherapy.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 3%
Colombia 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Professor > Associate Professor 3 10%
Other 2 6%
Other 5 16%
Unknown 9 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Medicine and Dentistry 4 13%
Mathematics 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 10%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 July 2020.
All research outputs
#3,414,629
of 26,370,058 outputs
Outputs from Journal of Theoretical Biology
#383
of 4,055 outputs
Outputs of similar age
#31,871
of 243,063 outputs
Outputs of similar age from Journal of Theoretical Biology
#5
of 67 outputs
Altmetric has tracked 26,370,058 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,055 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 90% 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 243,063 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.