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

Papers: 10.1371/journal.pone.0255241

https://doi.org/10.1371/journal.pone.0255241

Detecting joint attention events in mother-infant dyads: Sharing looks cannot be reliably identified by naïve third-party observers

Cited by: 2
Author(s): Kirsty E. Graham, Joanna C. Buryn-Weitzel, Nicole J Lahiff, Claudia Wilke, Katie E. Slocombe
Published: about 4 years ago

Software Mentions 5

cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: irr
Various Coefficients of Interrater Reliability and Agreement
Papers that mentioned: 228
Very Likely Science (83)
cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
pypi: irr
numpy.irr but works
Papers that mentioned: 228
Very Likely Science (65)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)