I3: A Non-Parametric Alternative to the Journal Impact Factor

12/09/2018
by   Loet Leydesdorff, et al.
0

We applied the integrated impact indicator (I3) to more than 10,000 journals and compared the results with other journal metrics. I3 provides a non-parametric statistic combining the measurement of impact in terms of citations (c) and performance in terms of publications (p) into a single metric. We argue for weighting using four percentile classes: the top-1 top-10 indicators. Unlike the h-index, which also appreciates both c and p, I3 correlates significantly with both the total number of citations and publications. I3 and h-index are size-dependent, division of I3 by the number of publications (I3/N) provides a size-independent indicator which correlates strongly with (the standard two-year) impact factor (JIF2) and JIF5 (JIF based on five publication years). The values of I3 and I3/N can be statistically tested against the expectation or one another using chi-square tests or effect sizes. Thus, one can indicate both performance and impact with a single number. We provide a template (in Excel) online for relevant tests.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro