Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014-2016)

被引:20
|
作者
Atayero, Aderemi A. [1 ]
Popoola, Segun I. [1 ]
Egeonu, Jesse [2 ]
Oludayo, Olumuyiwa [3 ]
机构
[1] Covenant Univ, Dept Elect & Informat Engn, Ota, Nigeria
[2] Covenant Univ, Dept Econ & Dev Studies, Ota, Nigeria
[3] Covenant Univ, Dept Business Management, Ota, Nigeria
来源
DATA IN BRIEF | 2018年 / 19卷
关键词
Citation impact; Open Access; CiteScore; Analytics; Citation analytics; Smart campus; Data mining;
D O I
10.1016/j.dib.2018.05.005
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Citation is one of the important metrics that are used in measuring the relevance and the impact of research publications. The potentials of citation analytics may be exploited to understand the gains of publishing scholarly peer-reviewed research outputs in either Open Access (OA) sources or Subscription-Based (SB) sources in the bid to increase citation impact. However, relevant data required for such comparative analysis must be freely accessible for evidence-based findings and conclusions. In this data article, citation scores (CiteScores) of 2542 OA sources and 15,040 SB sources indexed in Scopus from 2014 to 2016 were presented and analyzed based on a set of five inclusion criteria. A robust dataset, which contains the CiteScores of OA and SB publication sources included, is attached as supplementary material to this data article to facilitate further reuse. Descriptive statistics and frequency distributions of OA CiteScores and SB CiteScores are presented in tables. Boxplot representations and scatter plots are provided to show the statistical distributions of OA CiteScores and SB CiteScores across the three sub -categories (Book Series, Journal, and Trade Journal). Correlation coefficient and p-value matrices are made available within the data article. In addition, Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) of OA CiteScores and SB CiteScores are computed and the results are presented using tables and graphs. Furthermore, Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are conducted to understand the statistical difference (and its significance, if any) in the citation impact of OA publication sources and SB publication source based on CiteScore. In the long run, the data provided in this article will help policy makers and researchers in Higher Education Institutions (HEls) to identify the appropriate publication source type and category for dissemination of scholarly research findings with maximum citation impact. (C) 2018 The Authors. Published by Elsevier Inc.
引用
收藏
页码:198 / 213
页数:16
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