Supplementary Data on Scientometrics of Plastic Pollution
Description
This dataset on the scientometrics of Plastic Pollution is presented. It shows supplementary data that includes author details, publication data, funding information, affiliations, keywords, word clouds and retrieved data from Web of Science (WoS) and SCOPUS databases. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The results were used for establishing research patterns, visualisation data and identifying developmental issues on marine hoses. The data on Plastic Pollution were also included, as the data were subjected to a scientometric study which looked at various parameters like publication years, authorship, and publication's country base to understudy the research pattern. See the full paper in: Amaechi, C.V. (2022). Sustainable control alternatives for Plastic Pollution with implications of COVID-19. Heliyon. 2022.
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Steps to reproduce
The data was retried from Scopus and Web of Science (WoS) databases, in 2022 to visualise the data while Voyant tools were used to postprocess the index keywords and the author keywords from the data. This was also used to develop trends and to generate word clouds from the keywords.