Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016)
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 Subscr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-08-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340918305079 |
| _version_ | 1811263232278528000 |
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| author | Aderemi A. Atayero Segun I. Popoola Jesse Egeonu Olumuyiwa Oludayo |
| author_facet | Aderemi A. Atayero Segun I. Popoola Jesse Egeonu Olumuyiwa Oludayo |
| author_sort | Aderemi A. Atayero |
| collection | DOAJ |
| description | 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 (HEIs) to identify the appropriate publication source type and category for dissemination of scholarly research findings with maximum citation impact. Keywords: Citation impact, Open Access, CiteScore, Analytics, Citation analytics, Smart campus, Data mining |
| first_indexed | 2024-04-12T19:41:04Z |
| format | Article |
| id | doaj.art-8c92ae53047a442f9b50906a88805a8c |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-12T19:41:04Z |
| publishDate | 2018-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-8c92ae53047a442f9b50906a88805a8c2022-12-22T03:19:04ZengElsevierData in Brief2352-34092018-08-0119198213Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016)Aderemi A. Atayero0Segun I. Popoola1Jesse Egeonu2Olumuyiwa Oludayo3Department of Electrical and Information Engineering, Covenant University, Ota, NigeriaDepartment of Electrical and Information Engineering, Covenant University, Ota, Nigeria; Corresponding author.Department of Economics and Development Studies, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaCitation 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 (HEIs) to identify the appropriate publication source type and category for dissemination of scholarly research findings with maximum citation impact. Keywords: Citation impact, Open Access, CiteScore, Analytics, Citation analytics, Smart campus, Data mininghttp://www.sciencedirect.com/science/article/pii/S2352340918305079 |
| spellingShingle | Aderemi A. Atayero Segun I. Popoola Jesse Egeonu Olumuyiwa Oludayo Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) Data in Brief |
| title | Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) |
| title_full | Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) |
| title_fullStr | Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) |
| title_full_unstemmed | Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) |
| title_short | Citation analytics: Data exploration and comparative analyses of CiteScores of Open Access and Subscription-Based publications indexed in Scopus (2014–2016) |
| title_sort | citation analytics data exploration and comparative analyses of citescores of open access and subscription based publications indexed in scopus 2014 2016 |
| url | http://www.sciencedirect.com/science/article/pii/S2352340918305079 |
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