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

dc.contributor.authorPeter, N. J.
dc.contributor.authorIroham, Chukwuemeka O.
dc.date.accessioned2025-11-13T15:57:27Z
dc.date.issued2023
dc.description.abstractBuilding 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.
dc.identifier.issnhttps://doi.org/10.17654/0972361724001
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/50508
dc.language.isoen
dc.publisherPushpa Publishing House
dc.subjectbuilding
dc.subjectCiteScore
dc.subjectconstruction
dc.subjectjournals
dc.subjectmodel
dc.subjectquartic
dc.subjectstatistics
dc.titleSTATISTICAL MODELING OF THE RELATIONSHIP BETWEEN CITESCORE AND JOURNAL PERCENTILES OF BUILDING AND CONSTRUCTION JOURNALS
dc.typeArticle

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