↓ Skip to main content

Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory

Overview of attention for article published in bioRxiv, December 2018
Altmetric Badge

Mentioned by

twitter
11 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
14 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.
Title
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
Published in
bioRxiv, December 2018
DOI 10.1101/491829
Authors

Mark Gluzman, Jacob G. Scott, Alexander Vladimirsky

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor 2 14%
Researcher 2 14%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 3 21%
Engineering 2 14%
Physics and Astronomy 1 7%
Mathematics 1 7%
Other 0 0%
Unknown 4 29%