Bradford散射定律和Leimkuhler模型在信息科学文献中的应用

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Dhrubajyoti Borgohain, M. Verma, Mohammad Nazim, Mayukh Sarkar
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引用次数: 10

摘要

本文讨论了布拉德福德定律的理论方面,它在不同学科领域的含义,各种实施形式,以及它在已出版的信息科学文献中的相关性。该研究试图将Bradford定律和信息科学文献的Leimkuhler模型应用于2001年至2020年研究期间Scopus数据库中列出的213个来源项目。已经编制了期刊和文章的排名表,以包含累积计数。在第一阶段,在期刊分布模式中使用口头公式或定律的代数形式,该模式描述了实际观察中不符合Bradford分布的非常高百分比的误差。Leimkuhler模型的应用在找到Bradford乘数(k)值后遵循这一点,从而估计核心和连续两个区域(r0,r1,r2)中的轴颈数量。观察到0.0092357%的微小百分比误差,其次是数据的图形描述,即“Bradford’s Bibliograph”。《科学计量学》(39)、《医学图书馆协会公报》(33)、《加拿大信息与图书馆学杂志》(26)被发现是频率最高的最受欢迎期刊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Bradford’s law of scattering and Leimkuhler model to information science literature
This paper discusses the theoretical aspects of Bradford’s law, its implications in different subject areas, various implementation forms, and its relevance in the published Information Science literature. The study attempts to apply Bradford’s law and Leimkuhler model on Information Science literature to a total of 213 source items listed in the Scopus database during the study period of 2001 to 2020. A ranking table of journals and articles has been prepared to contain the cumulative count. In the first phase, the verbal formulation or the laws’ algebraic form is employed in the journal distribution pattern that depicts a very high percentage of error in the actual observation that does not comply with Bradford’s distribution. The Leimkuhler model’s application follows this after finding the Bradford multiplier (k) value, thereby estimating the number of journals in the core and the successive two zones (r 0, r 1, r 2). A minor percentage error of 0.0092357% has been observed, followed bythe graphical depiction of the data, i.e., “Bradford’s Bibliograph.” “Scientometrics” (39), “Bulletin of the Medical Library Association” (33), “Canadian Journal of Information and Library Science”(26 ) were found as the most preferred journals with the highest frequency.
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来源期刊
COLLNET Journal of Scientometrics and Information Management
COLLNET Journal of Scientometrics and Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-
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