科学活动参与者对所提交报告和整个活动的主观兴趣的科学计量分析

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
V. V. Mironov
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引用次数: 0

摘要

摘要 本文介绍了一种新的科学计量学方法,用于分析科学活动(会议、研讨会、论坛等)的直接参与者对会上提交的报告以及这些活动整体的主观兴趣。该方法与赫希引文索引方法相对应,同时对其进行了重大补充和修改。特别是,该方法提供了对 "它是有趣的 "质量类别的量化测量。确定平均事件关注度。计算论文的关注度,并以此为基础绘制事件关注度正方形。正方形的边长表示事件兴趣指数(I 指数)。I 指数是提出事件分级方法(或逻辑)的基础。这种方法形成了质量类别,如优秀、良好、一般和较差。该理论体现在 INTERES 软件套件中。该套件对活动本身及其参与者的各种数字指标进行实时计算。科学杂志的代表会邀请作者感兴趣类别活动的优胜者以科学文章的形式发表报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Scientometric Analysis of Subjective Interest of Participants in a Scientific Event to Reports Presented and the Event As a Whole

Scientometric Analysis of Subjective Interest of Participants in a Scientific Event to Reports Presented and the Event As a Whole

Abstract

The paper describes the creation of a new scientometric methodology for analyzing the subjective interest of direct participants in scientific events (conferences, symposia, forums, and others) in reports presented at them and in these events as a whole. The methodology corresponds to the methodology of the Hirsch citation index and, at the same time, introduces significant additions and changes to it. In particular, the methodology provides a quantitative measure of the it-is-interesting quality category. The average event interest is determined. Votes of interest in papers are calculated and used as the basis for drawing the event interest square. The length of a side of this square depicts the event interest index (I-index). I-indices are used as the basis for proposing an event-grading methodology (or logic). This methodology forms categories of quality, such as excellent, good, average, and poor. The theory is embodied in the INTERES software suite. This suite makes real-time calculations of various numerical indicators of the event itself and its participants. The winners of the event in the author’s interest category are invited by representatives of scientific journals to publish reports in the form of scientific articles.

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来源期刊
Scientific and Technical Information Processing
Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.00
自引率
42.90%
发文量
20
期刊介绍: Scientific and Technical Information Processing  is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.
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