G2TT
来源类型Discussion paper
规范类型论文
来源IDDP8126
DP8126 The Skewness of Science in 219 Sub-Fields and a Number of Aggregates
Javier Ruiz-Castillo; Ignacio Ortuño-Ortin; Pedro Albarran; Juan A. Crespo
发表日期2010-11-01
出版年2010
语种英语
摘要This paper studies evidence from Thomson Scientific about the citation process of 3.7 million articles published in the period 1998-2002 in 219 Web of Science categories, or sub-fields. Reference and citation distributions have very different characteristics across sub-fields. However, when analyzed with the Characteristic Scores and Scales technique, which is size and scale independent, the shape of these distributions appear extraordinarily similar. Reference distributions are mildly skewed, but citation distributions with a five-year citation window are highly skewed: the mean is twenty points above the median, while 9-10% of all articles in the upper tail account for about 44% of all citations. The aggregation of sub-fields into disciplines and fields according to several aggregation schemes preserve this feature of citation distributions. On the other hand, for 140 of the 219 sub-fields the existence of a power law cannot be rejected. However, contrary to what is generally believed, at the sub-field level the scaling parameter is above 3.5 most of the time, and power laws are relatively small: on average, they represent 2% of all articles and account for 13.5% of all citations. The results of the aggregation into disciplines and fields reveal that power law algebra is a subtle phenomenon.
主题Industrial Organization
关键词Citation analysis Power laws Research performance
URLhttps://cepr.org/publications/dp8126
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/536948
推荐引用方式
GB/T 7714
Javier Ruiz-Castillo,Ignacio Ortuño-Ortin,Pedro Albarran,et al. DP8126 The Skewness of Science in 219 Sub-Fields and a Number of Aggregates. 2010.
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