Author productivity pattern and applicability of Lotka's inverse square law: a bibliometric appraisal of selected LIS open access journals

N. Barik, Puspanjali Jena
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引用次数: 2

Abstract

Purpose The purpose of this paper is to know whether the authors’ productivity pattern of library and information science (LIS) open access journals adheres to Lotka’s inverse square law of scientific productivity. Since the law was introduced, it has been tested in various fields of knowledge, and results have varied. This study has closely followed Lotka’s inverse square law in the field of LIS open access journals to find a factual result and set a baseline for future studies on author productivity of LIS open access journals. Design/methodology/approach The publication data of selected ten LIS open access journals pertain to authorship, citations were downloaded from the Scopus database and analysed using bibliometric indicators like authorship pattern, collaborative index (CI), degree of collaboration (DC), collaborative coefficient (CC) and citation counts. This study has applied Lotka’s inverse square law to assess authors’ productivity pattern of LIS open access journals and further Kolmogorov-Smirnov (K-S) goodness-of-fit test applied for testing of observed and expected author productivity data. Findings Inferences were drawn for the set objectives on authorship pattern, collaboration trend and authors’ productivity pattern of LIS open access journals covered in this study. The single authorship pattern is dominant in LIS open access journals covered in this study. The CI, DC and CC are found to be 1.95, 0.47 and 0.29, respectively. The expected values as per Lotka’s law (n = −2) significantly vary from the observed values as per the chi-square test and K-S goodness-of-fit test. Hence, this study does not adhere to Lotka’s inverse square law of scientific productivity. Practical implications Researchers may find an idea about the authors’ productivity patterns of LIS open access journals. This study has used the K-S goodness-of-fit test and the chi-square test to validate the authors’ productivity data. The inferences found out from this study will be a baseline for future research on author productivity of LIS open access journals. Originality/value This study is significant from the viewpoint of the growing research on open access journals in the field of LIS and to identify the authorship pattern, collaboration trend and author productivity pattern of such journals.
作者生产力模式与Lotka平方反比定律的适用性:美国开放存取期刊的文献计量学评估
目的了解图书馆情报学开放获取期刊作者的生产力模式是否符合洛特卡科学生产力的平方反比定律。自该法律出台以来,它已在各个知识领域进行了测试,结果各不相同。本研究密切关注了Lotka在开放获取期刊领域的平方反比定律,以期找到一个事实性的结果,并为未来开放获取期刊作者生产力的研究设定一个基线。设计/方法/方法:从Scopus数据库中下载10种LIS开放获取期刊的作者、引用数据,并使用作者模式、合作指数(CI)、合作程度(DC)、合作系数(CC)和引用计数等文献计量指标进行分析。本研究采用Lotka的平方反比定律来评估美国开放获取期刊的作者生产力模式,并进一步采用Kolmogorov-Smirnov (K-S)拟合优度检验来检验观察到的和期望的作者生产力数据。研究结果对研究涵盖的美国开放获取期刊的作者身份模式、合作趋势和作者生产力模式进行了设定目标。单一作者模式在本研究覆盖的美国开放获取期刊中占主导地位。CI、DC和CC分别为1.95、0.47和0.29。Lotka定律(n =−2)的期望值与卡方检验和K-S拟合优度检验的观测值有显著差异。因此,本研究不符合Lotka的科学生产力平方反比定律。实际意义研究人员可能会对美国开放获取期刊的作者生产力模式有所了解。本研究采用K-S拟合优度检验和卡方检验对作者的生产率数据进行了验证。本研究得出的结论将为今后对开放获取期刊作者生产力的研究奠定基础。原创性/价值从对开放获取期刊的研究日益增多的角度来看,本研究对于识别开放获取期刊的作者身份模式、合作趋势和作者生产力模式具有重要意义。
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