impactfactor {denoiseR}

Data set on metrics for scientific journals:

Description

A subset of 443 journals of the sections Computer Science Software, Decision Sciences Statistics, Probability and Uncertainty and Mathematics Statistics and Probability and their scores for 3 metrics recorded each year from 1999 to 2013: IPP impact per publication, SNIP source normalized impact per paper (tries to weight by the number of citations per subject fieeld to adjust for different citation cultures) and the SJR SCImago journal rank (tries to capture average prestige per publication). This data contains 31 percent of missing values.

Usage

data(impactfactor)

Format

A data frame with 443 observations and 45 continuous variables

Source

journalmetrics.com

Examples

data(impactfactor)
## Not run: ada.NA <- imputeada(impactfactor, lambda = 4.46, gamma = 1.9)
impactfactorcomp <- ada.NA$completeObs
## End(Not run)