Scholarly Communication on Web 3.0: An Analysis Based on Web of Science
2021
- 357Usage
Metric Options: CountsSelecting 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.
Metrics Details
- Usage357
- Downloads238
- Abstract Views119
Article Description
For investigating the structure and process of academic communication, bibliometrics provides an excellent set of methodologies and measures. Web 3.0 is a concept that incorporates artificial intelligence and other advanced technologies and brings forth new opportunities and challenges to information scientists. The present study provides an evaluation of the scientific productivity related to Web 3.0 technologies in Web of Science (WoS) during the period of 2007 to 2020. The country-wise distribution of the literature revealed that the majorities (22.330%) of the documents were published from the USA, followed by Spain, and scholarly output of Web 3.0 literature received a total of 2145 citations. More than Ninety percentage of scholarly communication is through the English language. The study also provided a list of the top 10 publications based on the number of citations.
Bibliographic Details
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