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

Papers: 10.1371/journal.pone.0238071

https://doi.org/10.1371/journal.pone.0238071

Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences

Cited by: 4
Author(s): Claire M. Mason, Paul Box, Shanae M. Burns
Published: almost 5 years ago

Software Mentions 4

cran: lme4
Linear Mixed-Effects Models using 'Eigen' and S4
Papers that mentioned: 9,267
Very Likely Science (100)
cran: lmerTest
Tests in Linear Mixed Effects Models
Papers that mentioned: 1,865
Very Likely Science (100)
cran: multilevel
Multilevel Functions
Papers that mentioned: 28
Very Likely Science (75)
pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)