An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0253954

https://doi.org/10.1371/journal.pone.0253954

Assessment of early COVID-19 compliance to and challenges with public health and social prevention measures in the Kingdom of Eswatini, using an online survey

Cited by: 17
Author(s): Sara Padidar, Shell-may Liao, Siphesihle Magagula, Themb’a A. M. Mahlaba, Nhlanhla Nhlabatsi, Stephanie Lukas
Published: about 4 years ago

Software Mentions 9

cran: AICcmodavg
Model Selection and Multimodel Inference Based on (Q)AIC(c)
Papers that mentioned: 261
Very Likely Science (75)
cran: FSA
Simple Fisheries Stock Assessment Methods
Papers that mentioned: 225
Very Likely Science (100)
cran: gmodels
Various R Programming Tools for Model Fitting
Papers that mentioned: 85
Very Likely Science (75)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: mice
Multivariate Imputation by Chained Equations
Papers that mentioned: 455
Very Likely Science (100)
cran: naniar
Data Structures, Summaries, and Visualisations for Missing Data
Papers that mentioned: 12
Very Likely Science (100)
cran: SparseM
Sparse Linear Algebra
Papers that mentioned: 7
Very Likely Science (83)
pypi: FSA
Finite State Automaton library
Papers that mentioned: 225
Very Likely Science (80)
pypi: mice
Multi-iteration Stochastic Estimator
Papers that mentioned: 455
Very Likely Science (80)