4.5 Article

Lifting the crown-citation z-score

Journal

JOURNAL OF INFORMETRICS
Volume 1, Issue 2, Pages 145-154

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.joi.2006.09.007

Keywords

citation; indicator; normalization; research assessment; z-score

Ask authors/readers for more resources

Researchers worldwide are increasingly being assessed by the citation rates of their papers. These rates have potential impact on academic promotions and funding decisions. Currently there are several different ways that citation rates are being calculated, with the state of the art indicator being the crown indicator. This indicator has flaws and improvements could be considered. An item oriented field normalized citation score average ((c) over bar (f)) is an incremental improvement as it differs from the crown indicatorin so much as normalization takes place on the level of individual publication (or item) rather than on aggregated levels, and therefore assigns equal weight to each publication. The normalization on item level also makes it possible to calculate the second suggested indicator: total field normalized citation score (Sigma c(f)). A more radical improvement (or complement) is suggested in the item oriented field normalized logarithm-based citation z-score average ((c) over bar (fz[ln]) or citation z-score). This indicator assigns equal weight to each included publication and takes the citation rate variability of different fields into account as well as the skewed distribution of citations over publications. Even though the citation z-score could be considered a considerable improvement it should not be used as a sole indicator of research performance. Instead it should be used as one of many indicators as input for informed peer review. (c) 2007 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available