G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8715
DP8715 Sub-field normalization in the multiplicative case: Average-based citation indicators
Javier Ruiz-Castillo; Neus Herranz
发表日期2011-12-01
出版年2011
语种英语
摘要This paper investigates the citation impact of three large geographical areas -- the U.S., the European Union (EU), and the rest of the world (RW) -- at different aggregation levels. The difficulty is that 42% of the 3.6 million articles in our Thomson Scientific dataset are assigned to several sub-fields among a set of 219 Web of Science categories. We follow a multiplicative approach in which every article is wholly counted as many times as it appears at each aggregation level. We compute the crown indicator and the Mean Normalized Citation Score (MNCS) using for the first time sub-field normalization procedures for the multiplicative case. We also compute a third indicator that does not correct for differences in citation practices across sub-fields. It is found that: (1) No geographical area is systematically favored (or penalized) by any of the two normalized indicators. (2) According to the MNCS, only in six out of 80 disciplines -- but in none of 20 fields -- is the EU ahead of the U.S. In contrast, the normalized U.S./EU gap is greater than 20% in 44 disciplines, 13 fields, and for all sciences as a whole. The dominance of the EU over the RW is even greater. (3) The U.S. appears to devote relatively more -- and the RW less -- publication effort to subfields with a high mean citation rate, which explains why the U.S./EU and EU/RW gaps for all sciences as a whole increase by 4.5 and 5.6 percentage points in the un-normalized case.
主题Industrial Organization
关键词Citation analysis Web of science categories Journal classification Research performance Normalization European paradox
URLhttps://cepr.org/publications/dp8715
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/537550
推荐引用方式
GB/T 7714
Javier Ruiz-Castillo,Neus Herranz. DP8715 Sub-field normalization in the multiplicative case: Average-based citation indicators. 2011.
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