How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators

被引:11
作者
Bornmann, Lutz [1 ]
Tekles, Alexander [1 ,2 ]
Leydesdorff, Loet [3 ]
机构
[1] Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany
[2] Ludwig Maximilians Univ Munchen, Dept Sociol, Konradstr 6, D-80801 Munich, Germany
[3] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands
关键词
Bibliometrics; I3; Field normalization; Citation analysis; Convergent validity; CITED REFERENCES; PUBLICATION; CITATIONS;
D O I
10.1007/s11192-019-03071-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recently, the integrated impact indicator (I3) was introduced where citations are weighted in accordance with the percentile rank class of each publication in a set of publications. I3 can also be used as a field-normalized indicator. Field-normalization is common practice in bibliometrics, especially when institutions and countries are compared. Publication and citation practices are so different among fields that citation impact is normalized for cross-field comparisons. In this study, we test the ability of the indicator to discriminate between quality levels of papers as defined by Faculty members at F1000Prime. F1000Prime is a post-publication peer review system for assessing papers in the biomedical area. Thus, we test the convergent validity of I3 (in this study, we test I3/Nthe size-independent variant of I3 where I3 is divided by the number of papers) using assessments by peers as baseline and compare its validity with several other (field-normalized) indicators: the mean-normalized citation score, relative-citation ratio, citation score normalized by cited references, characteristic scores and scales, source-normalized citation score, citation percentile, and proportion of papers which belong to the x% most frequently cited papers (PPtop x%). The results show that the PPtop 1% indicator discriminates best among different quality levels. I3 performs similar as (slightly better than) most of the other field-normalized indicators. Thus, the results point out that the indicator could be a valuable alternative to other indicators in bibliometrics.
引用
收藏
页码:1187 / 1205
页数:19
相关论文
共 61 条