Indicadores de input/output de la ciencia iberoamericana: ¿cuán similares son las clasificaciones basadas en los indicadores de RICYT y Scimago?

Edgardo Ortiz-Jaureguizar, J. Traverso
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引用次数: 3

Abstract

The objective of this study is to evaluate the congruence between the country classifications obtained from the Scimago Journal and Country Rank (SCIJCR) indicators, and those provided by the RICYT, taking as study units 11 Ibero-American countries, during 2006-2017. Thirty-four input/output indicators were taken as variables, 11 from SCIJCR, and 23 from RICYT. The similarity relationships among the countries and the indicators were represented by means of phenograms (Ward's method) and the congruence among the classifications of the countries was represented by strict consensus trees and quantified by means of a consensus index. The main conclusions of the study indicate that: 1) The classification of countries based on the 34 indicators corresponds to their size (e.g., socioeconomic development, population) and to the respective scientific traditions; 2) The indicators show a complex grouping patterns, not observing groupings based on the different typologies (e.g., production, impact, input, context); 3) The vast majority of the SCIJCR indicators show close mutual links, producing redundant information; 4) The percentage of international collaboration is only related to values ​​of moderate similarity with the citations per document, so it does not agree with the idea that the number of citations is directly proportional to international collaboration; 5) Taking into account the results obtained, the most profitable investments in terms of production, impact, and impact and production, are those measured by graduation indicators (graduates), RD 6) The lack of congruence observed when comparing country rankings from only one source (i.e., SCIJCR or RICYT) contradicts the simplistic idea that scientific results can be predicted only from invested resources; 7) Comparing the classification of countries based on all the indicators with those produced based on one or the other (i.e., SCIJCR or RICYT) produces few common groups. This can be explained from issues intrinsic to the analysis, such as the different number of indicators, and the redundancy of the information provided by the vast majority of the SCIJCR. This means that the SCIJCR indicators have a lower weight than those of the RICYT, when it comes to differentiating groups of countries.
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伊比利亚-美洲科学的投入/产出指标:基于RICYT和Scimago指标的排名有多相似?
本研究的目的是评估2006-2017年期间,从《科学杂志》和《国家排名》(SCIJCR)指标中获得的国家分类与RICYT提供的国家分类之间的一致性,以11个伊比利亚-美洲国家为研究单位。34个输入/输出指标作为变量,其中11个来自SCIJCR,23个来自RICYT。国家和指标之间的相似性关系通过表型图(Ward方法)表示,国家分类之间的一致性通过严格的一致性树表示,并通过一致性指数进行量化。研究的主要结论表明:1)基于34个指标的国家分类与其规模(如社会经济发展、人口)和各自的科学传统相对应;2) 指标显示了复杂的分组模式,没有观察到基于不同类型的分组(例如,生产、影响、投入、背景);3) SCIJCR的绝大多数指标显示出密切的相互联系,产生了冗余信息;4) 国际合作的百分比只与价值观有关​​与每份文件的引文具有适度的相似性,因此它不同意引文数量与国际合作成正比的观点;5) 考虑到所获得的结果,就生产、影响、影响和生产而言,最有利可图的投资是通过毕业指标(毕业生)衡量的投资,RD 6)在比较仅来自一个来源(即SCIJCR或RICYT)的国家排名时发现缺乏一致性,这与科学结果只能从投资资源中预测的简单想法相矛盾;7) 将基于所有指标的国家分类与基于一个或另一个指标(即SCIJCR或RICYT)的国家分类进行比较,几乎没有产生共同的类别。这可以从分析的内在问题来解释,例如指标的数量不同,以及SCIJCR绝大多数成员提供的信息的冗余。这意味着,在区分国家群体方面,SCIJCR指标的权重低于RICYT指标。
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CiteScore
0.10
自引率
0.00%
发文量
29
审稿时长
16 weeks
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