STATISTICAL MODELING OF THE RELATIONSHIP BETWEEN CITESCORE AND JOURNAL PERCENTILES OF BUILDING AND CONSTRUCTION JOURNALS

Owolabi, J. D and Okagbue, H. I. and Peter, Nkolika Joy and Iroham, C.O. (2023) STATISTICAL MODELING OF THE RELATIONSHIP BETWEEN CITESCORE AND JOURNAL PERCENTILES OF BUILDING AND CONSTRUCTION JOURNALS. STATISTICAL MODELING OF THE RELATIONSHIP BETWEEN CITESCORE AND JOURNAL PERCENTILES OF BUILDING AND CONSTRUCTION JOURNALS, 91 (1). pp. 1-11. ISSN P-ISSN: 0972-3617

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Abstract

Building and construction are one of the major subject categories in Scopus, Elsevier. Building and construction journals are journals that publish articles and review papers in all areas of building, construction, structures, construction materials, civil engineering, and building and construction management amongst others. This paper proposes a modified quartile model which can be used to predict the journal percentile using the CiteScore as the independent variable. The model evaluation metrics signal a good fit and the proposed model yielded journal percentile (JP) close to the original JP. The knowledge of the CiteScore can now be used to predict the percentile and by extension, the quartile of journals in building and construction in Scopus or Web of Science.

Item Type:	Article
Uncontrolled Keywords:	building, CiteScore, construction, journals, model, quartic, statistics.
Subjects:	T Technology > TD Environmental technology. Sanitary engineering T Technology > TH Building construction
Divisions:	Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment
Depositing User:	ORIGBOEYEGHA
Date Deposited:	27 Jun 2024 10:09
Last Modified:	27 Jun 2024 10:09
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/18133

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