Visualising research data in dentistry
Ahmad Nadzri Mohamad, Noor Nazahiah Bakri, Mas Suryalis Ahmad
Abstract
Ahmad Nadzri Mohamad, Noor Nazahiah Bakri, Mas Suryalis Ahmad
Abstract
In the era of Big Data, visualization of scientific literature is instrumental to comprehend the overall progress of a knowledge domain. Researchers in the past have published a massive amount of scientific publication in various forms such as journal article, conference proceeding and short communication. In the early years, researchers have conducted bibliometric studies with less emphasis given on visualization. However, recent developments in the use of visualization techniques have allowed more complex and interactive visualization in bibliometric research through the application of various software packages. This has allowed more graphical representation to complement bibliometric studies. One of the key benefits of using visualization is the improvement on cognitive and perceptive understanding in quantitative and verbal information. Realizing this potential, we intended to visualize Dental research data in Scopus according to (a) Co-authorship networks (b) Keyword co-occurrences and (c) Cited references pattern and citation burst.
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In the era of Big Data, visualization of scientific literature is instrumental to comprehend the overall progress of a knowledge domain. Researchers in the past have published a massive amount of scientific publication in various forms such as journal article, conference proceeding and short communication. In the early years, researchers have conducted bibliometric studies with less emphasis given on visualization. However, recent developments in the use of visualization techniques have allowed more complex and interactive visualization in bibliometric research through the application of various software packages. This has allowed more graphical representation to complement bibliometric studies. One of the key benefits of using visualization is the improvement on cognitive and perceptive understanding in quantitative and verbal information. Realizing this potential, we intended to visualize Dental research data in Scopus according to (a) Co-authorship networks (b) Keyword co-occurrences and (c) Cited references pattern and citation burst.
Key concepts: Visualization, Computer science, Data science, Information visualization, Data visualization, Scopus, Complement (music), Citation