Bibliometric analysis using bibliometrix an R package
Journal of Scientometric Research, ISSN: 2320-0057, Vol: 8, Issue: 3, Page: 156-160
2019
- 332Citations
- 914Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This study aims to explore the usage of Open-source software in bibliometric analysis. Biblio-metrix an R package for bibliometric and co-citation analysis was used to achieve the research activities. R is an ecosystem software meaning all functions are shared in an open-source environment with the users. We have used Graphene as a subject of research for bibliometric analysis. Graphene is one of the fastest growing research fields in nanotechnology worldwide. A textual query on Web of Science (WoS) Clarivate Analytics using the term "graphene" was performed retrieving 1155 scholarly papers from 2000 to 2017 with having at least one author based in Turkey. Bibliometric results indicate graphene within nanotechnology as a scientific research field is growing steadily. Graphene not only is used in engineering but also can be used in medical technology. Furthermore, this is an ongoing research exploring an Open-source software and its roles in the field of information studies.
Bibliographic Details
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