impactfactor: Data set on metrics for scientific journals:

Description Usage Format Source Examples

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% of missing values.

Usage

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data(impactfactor)
ada.gsureNA <- adashrink(impactfactor)
impactfactorcomp <- ada.gsureNA$completeObs

Format

A data frame with 443 observations and 45 continuous variables

Source

journalmetrics.com

Examples

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julierennes/denoiseR documentation built on July 29, 2019, 3:38 a.m.