Projects: pypi: myokit
https://packages.ecosyste.ms/registries/pypi.org/packages/myokit
A modeling and simulation tool for cardiac cellular electrophysiology
45 versions
Latest release: over 2 years ago
3 dependent packages
354 downloads last month
Enhanced Analysis
Educational Contributors:
michael.clerx@cs.ox.ac.uk
michael.clerx@nottingham.ac.uk
rebecca.rumney@wolfson.ox.ac.uk
Repository Activity:
Repository Owner:
Myokit (organization)
Repositories for Myokit
Repositories for Myokit
README Analysis:
CITATION.cff
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+60
Educational commit emails
3 contributors with educational email addresses -
+6
Science terms in README
3 scientific terms found in README -
+15
CITATION.cff file
Contains citation file for academic attribution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning myokit 3
10.1098/rsta.2019.0339
Reducing complexity and unidentifiability when modelling human atrial cellsCited by: 4
Author(s): C. Stuart Houston, Basile Marchand, L. Engelbert, Chris D. Cantwell
Software Mentions: 1
Published: about 6 years ago
10.1016/j.pbiomolbio.2019.12.004
Temporal irregularity quantification and mapping of optical action potentials using wave morphology similarityCited by: 5
Author(s): Christopher O’Shea, James Winter, Andrew P. Holmes, Dan Johnson, Joao Correia, Paulus Kirchhof, Larissa Fabritz, Kashif Rajpoot, Davor Pavlović
Software Mentions: 1
Published: over 5 years ago
10.1186/s12976-015-0019-9
Bioelectric memory: modeling resting potential bistability in amphibian embryos and mammalian cellsCited by: 43
Author(s): Robert Law, Michael Levin
Software Mentions: 1
Published: over 10 years ago