A Bibliometric Analysis of the 35th anniversary of the paper "The Statistical Analysis of Compositional Data" by John Aitchison (1982)

IF 0.6 Q4 STATISTICS & PROBABILITY

Austrian Journal of Statistics Pub Date : 2021-02-03 DOI:10.17713/AJS.V50I2.1066

C. Navarro, Silvia González-Morcillo, Carles Mulet-Forteza, Salvador Linares-Mustarós

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引用次数: 2

Abstract

This study presents a comprehensive bibliometric analysis of the paper published by John Aitchison in the Journal of the Royal Statistical Society. Series B (Methodological) in 1982. Having recently reached the milestone of 35 years since its publication, this pioneering paper was the first to illustrate the use of the methodology "Compositional Data Analysis" or "CoDA". By October 2019, this paper had received over 780 citations, making it the most widely cited and influential article among those using said methodology. The bibliometric approach used in this study encompasses a wide range of techniques, including a specific analysis of the main authors and institutions to have cited Aitchison' paper. The VOSviewer software was also used for the purpose of developing network maps for said publication. Specifically, the techniques used were co-citations and bibliographic coupling. The results clearly show the significant impact the paper has had on scientific research, having been cited by authors and institutions that publish all around the world.

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约翰·艾奇逊(1982)论文《成分数据的统计分析》发表35周年文献计量学分析

本研究对John Aitchison在《皇家统计学会杂志》上发表的论文进行了全面的文献计量分析。1982年B系列(方法学)。最近达到35年的里程碑，因为它的出版，这篇开创性的论文是第一个说明使用的方法“成分数据分析”或“CoDA”。截至2019年10月，该论文被引用次数超过780次，是使用上述方法的文章中被引用次数最多、影响力最大的文章。本研究中使用的文献计量学方法包含了广泛的技术，包括对引用艾奇逊论文的主要作者和机构的具体分析。VOSviewer软件还用于为上述出版物开发网络地图。具体来说，使用的技术是共引和书目耦合。结果清楚地表明，这篇论文对科学研究产生了重大影响，被世界各地的作者和机构引用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Austrian Journal of Statistics STATISTICS & PROBABILITY-

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

24 weeks

期刊介绍： The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.