Effects of funding on the collaboration and citation in environmental papers and the relationship with nation’s science and technology budgets

J. Nabout, R. C. P. Faquim, R. A. Carvalho, K. B. Machado
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引用次数: 2

Abstract

Input, output, impact, and processes are central indicators of the science, technology, and innovation production. The input is usually associated to investments made in science and technology, and it varies among different countries and scientific fields. Thus, the input can influence other impact indicators. Here, we evaluated the effect of the input data (i.e., number of funding) on process (i.e., collaboration) and output (i.e., number of citation) indicators of ecological research. Moreover, we detailed the effect of the number of funding on the collaboration and number of citations by each country (based on the nationality of authors). We found that most of published papers had some degrees of financial support, and that the production of papers with funding increased over the years. Funding had a positive effect on the collaboration and citation of papers; however, we observed that: in countries with higher investments in Science and Technology, the number of funding impacts positively and directly on the number of authors (collaboration) and in countries with low levels of investments in Science and Technology, the number of funding impacts positively and directly on the number of citations. Our models presented a low predictive power, but similar to other informetric studies. Our results indicated that impact indicators evaluated have an integrated structure, and the effects at one level can affect other levels. Nonetheless, the impact of the number of funding on informetric data can vary among countries; therefore, these results are important to the development of national policies and future informetric studies.
资助对环境论文合作和引用的影响及其与国家科技预算的关系
投入、产出、影响和过程是科技创新生产的核心指标。这种投入通常与对科学和技术的投资有关,在不同的国家和科学领域有所不同。因此,投入可以影响其他影响指标。在这里,我们评估了输入数据(即资助数量)对生态研究过程(即合作)和产出(即被引用数量)指标的影响。此外,我们详细分析了资助数量对每个国家的合作和引用数量的影响(基于作者的国籍)。我们发现,大多数发表的论文都有一定程度的资金支持,而且有资金支持的论文产量逐年增加。资助对合作和论文被引有积极影响;然而,我们观察到:在科技投入较高的国家,资助数量对作者(合作)数量产生积极和直接的影响;在科技投入水平较低的国家,资助数量对引用数量产生积极和直接的影响。我们的模型表现出较低的预测能力,但与其他信息计量学研究相似。研究结果表明,评价的影响指标具有整体结构,一个层面的影响可以影响其他层面。尽管如此,各国对信息计量数据的资助数量的影响可能有所不同;因此,这些结果对国家政策的制定和未来的信息计量学研究具有重要意义。
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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