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首页> 外文期刊>New Journal of Chemistry >Sense and nonsense of science citation analyses: comments on the monopoly position of ISI and citation inaccuracies. Risks of possible misuse and biased citation and impact data.
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Sense and nonsense of science citation analyses: comments on the monopoly position of ISI and citation inaccuracies. Risks of possible misuse and biased citation and impact data.

机译:科学引文分析的理智与废话:对ISI的垄断地位和引文准确性的评论。可能存在滥用风险以及引证和影响数据有偏见的风险。

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摘要

Journal editors and publishers, authors of scientific papers, research directors, university and research council administrators, and even government officials increasingly make use of so-called 'Impact Factors' to evaluate the quality of journals, authors and research groups. These figures are used in decision-making processes about (dis)continuation of journal subscriptions, selection of journals for submission of papers, ranking of authors and groups of authors, and even for increase and decrease of funding to research groups. All data are based on the counting of citations of the scientific papers of authors. Very few users appear to realize that these figures can be seriously wrong, biased and even manipulated, as a result of: (i) citation habits for authors in different fields, (ii) selectivity in (non)citations by authors, (iii) errors made by authors in citation lists at the end of papers, (iv) errors made by ISI in entering publications and citations in databases, and in classifying citations and accrediting them to journals and authors, and (v) incomplete and misleading impact figures published by ISI. Although quite a few bonafide and competent analysts and organisations specialized in citation analyses exist, the incompetence of many analysts, when using crude ISI data in discussing rankings of journal and/or authors, is an additional factor that makes such analyses often unreliable. This paper reviews some of the current practices in publications and citations for (bio)chemists and (bio)chemistry journals; critical comments are made with regard to the use and consequences of erroneous and incomplete or too detailed data. A few recent examples are given of the use and misuse of such data, to illustrate and evaluate the (non)sense of current practice. [References: 21]
机译:期刊编辑和出版者,科学论文的作者,研究主管,大学和研究委员会的行政人员甚至政府官员越来越多地使用所谓的“影响因素”来评估期刊,作者和研究小组的质量。这些数字用于以下方面的决策过程:期刊订阅的(中止),期刊选择以提交论文,作者和作者群体的排名,甚至用于增加或减少对研究团队的资助。所有数据均基于对作者科学论文的引用计数。极少的用户似乎意识到这些数字可能是严重错误,有偏见甚至被操纵的,其结果是:(i)不同领域作者的引用习惯,(ii)对作者(非)引用的选择性,(iii)作者在论文结尾处的引文清单中所犯的错误;(iv)ISI在数据库中输入出版物和引文,对引文进行分类并将其认证为期刊和作者时所犯的错误;以及(v)出版的影响数据不完整且具有误导性由ISI。尽管存在很多从事引文分析的真正的,有能力的分析人员和组织,但是许多分析人员的能力不足,在使用原始ISI数据讨论期刊和/或作者的排名时,这是使此类分析通常不可靠的另一个因素。本文回顾了(生物)化学家和(生物)化学期刊的出版物和引用中的一些现行做法;对于错误,不完整或过于详细的数据的使用和后果,提出了重要的评论。给出了一些使用和滥用此类数据的最新示例,以说明和评估当前实践的(无)理。 [参考:21]

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