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Cancer dormancy and criticality from a game theory perspective

Overview of attention for article published in Cancer Convergence, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
8 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Cancer dormancy and criticality from a game theory perspective
Published in
Cancer Convergence, January 2018
DOI 10.1186/s41236-018-0008-0
Pubmed ID
Authors

Amy Wu, David Liao, Vlamimir Kirilin, Ke-Chih Lin, Gonzalo Torga, Junle Qu, Liyu Liu, James C. Sturm, Kenneth Pienta, Robert Austin

Abstract

The physics of cancer dormancy, the time between initial cancer treatment and re-emergence after a protracted period, is a puzzle. Cancer cells interact with host cells via complex, non-linear population dynamics, which can lead to very non-intuitive but perhaps deterministic and understandable progression dynamics of cancer and dormancy. We explore here the dynamics of host-cancer cell populations in the presence of (1) payoffs gradients and (2) perturbations due to cell migration. We determine to what extent the time-dependence of the populations can be quantitively understood in spite of the underlying complexity of the individual agents and model the phenomena of dormancy.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 11%
Researcher 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Professor 1 5%
Other 4 21%
Unknown 6 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Physics and Astronomy 4 21%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 7 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 April 2018.
All research outputs
#2,937,951
of 12,846,518 outputs
Outputs from Cancer Convergence
#4
of 6 outputs
Outputs of similar age
#91,729
of 344,189 outputs
Outputs of similar age from Cancer Convergence
#1
of 1 outputs
Altmetric has tracked 12,846,518 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one scored the same or higher as 2 of them.
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 344,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them