俄罗斯科学期刊作者的最终出版活动

D. Y. Bolshakov
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引用次数: 0

摘要

这篇论文讨论了一种方法,可以找到俄罗斯作者向科学期刊发表的论文的最终数量。该方法基于对所有对科学期刊出版物感兴趣的读者的评估,假设每个作者都亲自从事一项研究并为科学期刊撰写一篇论文,以及对共同作者指标的解释,即同事参与作者进行的研究。该研究采用了Rosstat,高等经济学院和科学电子图书馆的数据,以揭示所有对出版感兴趣的作者。然后将该指标乘以共同作者的值。建议将作者每年发表的论文数量作为一个随机值,稍后用作构建所有作者最终论文数量的概率分布的基础。利用蒙特卡罗方法建立了该分布,并利用概率论和线性代数的工具进行了分析。已将获得的数据与科学电子图书馆的数据进行了比较分析。这项工作表明,对于每年一篇以上文章的数量,从俄罗斯读者那里收到的论文数量的分布可以近似为正态分布,其所有参数取决于最大年度论文数量、读者范围和共同作者指标。这给出了任何部分(学科组或特定学科)的最终论文数量。本文考虑了求得最终论文数分布的实例。其结果可用于在研究活动的方向上纠正组织或高等教育机构的研究政策,并可作为各科学领域所需论文数量的指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ultimate publication activity of the Russian authors of the scientific journals
The paper deals with an approach to finding the ultimate number of papers Russian authors deliver to scientific journals. The approach is based on an assessment of the entire audience interested in publications in scientific journals, an assumption that each author personally pursues a research and writes a paper for the scientific journal, as well as an account for the co-authorship indicator, i.e. the involvement of colleagues into the research performed by the author. The research employs data by Rosstat, Higher School of Economics and Scientific Electronic Library to reveal all the authors interested in publication. This indicator is then multiplied by a value of co-authorship. The number of papers the authors publish per year is recommended to be taken as a random value, to be used later as a basis for building a probabilistic distribution of the ultimate number of papers among all authors. The distribution is built by the Monte Carlo method, and the analysis employs the apparatus of the probability theory and linear algebra. The obtained data and data from the Scientific electronic library have been exposed to comparative analysis. The work revealed that for the annual amount of more than one article the distribution of the number of papers received from the Russian audience can be approximated by a normal distribution, with all its parameters depending on maximum annual number of papers, scope of audience and co-authorship indicator. This gives the ultimate number of papers for any section (group of disciplines or a particular discipline). The article considers the examples of obtaining the distribution for the ultimate number of papers. The results can be used for correcting the research policy of an organization or an institute of higher education in the directions of activity being researched, and can serve as a guide to the necessary number of papers in various fields of science.
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