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Open AccessJournal ArticleDOI

Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison

Ludo Waltman, +1 more
- 01 Sep 2013 - 
- Vol. 96, Iss: 3, pp 699-716
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TLDR
In this paper, an overview of the source normalization approaches is provided and empirically compared with a traditional normalization approach based on a field classification system, and the issue of the selection of the journals to be included in a normalization for field differences is discussed.
Abstract
Different scientific fields have different citation practices. Citation-based bibliometric indicators need to normalize for such differences between fields in order to allow for meaningful between-field comparisons of citation impact. Traditionally, normalization for field differences has usually been done based on a field classification system. In this approach, each publication belongs to one or more fields and the citation impact of a publication is calculated relative to the other publications in the same field. Recently, the idea of source normalization was introduced, which offers an alternative approach to normalize for field differences. In this approach, normalization is done by looking at the referencing behavior of citing publications or citing journals. In this paper, we provide an overview of a number of source normalization approaches and we empirically compare these approaches with a traditional normalization approach based on a field classification system. We also pay attention to the issue of the selection of the journals to be included in a normalization for field differences. Our analysis indicates a number of problems of the traditional classification-system-based normalization approach, suggesting that source normalization approaches may yield more accurate results.

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国际刊物《Scientometrics》文献计量研究

魏屹东
TL;DR: In this paper, the authors propose a method to improve the quality of the data collected by the data collection system. But it is difficult to implement and time consuming and computationally expensive.
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A review of the literature on citation impact indicators

TL;DR: In this paper, an in-depth review of the literature on citation impact indicators is provided, focusing on the selection of publications and citations to be included in the calculation of citation impact indicator.
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A review of theory and practice in scientometrics

TL;DR: The historical development of scientometrics, sources of citation data, citation metrics and the “laws” of scientometry, normalisation, journal impact factors and other journal metrics, visualising and mapping science, evaluation and policy, and future developments are considered.
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Citations, Citation Indicators, and Research Quality: An Overview of Basic Concepts and Theories

TL;DR: Citations are increasingly used as performance indicators in research policy and within the research system as mentioned in this paper, and it is argued that citations reflect aspects related to scientific impact and relevance, although with important limitations.
Posted Content

A review of the literature on citation impact indicators

TL;DR: An in-depth review of the literature on citation impact indicators with recommendations for future research on normalization for field differences and counting methods for dealing with co-authored publications.
References
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国际刊物《Scientometrics》文献计量研究

魏屹东
TL;DR: In this paper, the authors propose a method to improve the quality of the data collected by the data collection system. But it is difficult to implement and time consuming and computationally expensive.
Journal ArticleDOI

Universality of citation distributions: Toward an objective measure of scientific impact

TL;DR: It is shown that the probability that an article is cited c times has large variations between different disciplines, but all distributions are rescaled on a universal curve when the relative indicator cf = c/c0 is considered, where c0 is the average number of citations per article for the discipline.
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A new methodology for constructing a publication-level classification system of science

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