Questions to the article: demonstrating the ascendancy of COVID-19 research using acronyms

Shu-Chun Kuo (), Tsair-Wei Chien () and Willy Chou ()
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Shu-Chun Kuo: Chung Hwa University of Medical Technology, Jen-Teh
Tsair-Wei Chien: Chi-Mei Medical Center
Willy Chou: Jiali Chi-Mei Hospital

Scientometrics, 2021, vol. 126, issue 10, No 26, 8764 pages

Abstract: Abstract The article published on 16 May 2021, is well-written and of interest, but remains several questions that are required for clarifications, such as the presentations in Table 1 and Fig. 1 that should be improved further for providing more valuable information to readers. After viewing Table 1, measuring the strength of quantity (= 0.84) referred to the next two counterparts for the top one acronym (e.g., COVID) is demonstrated using the absolute advantage coefficient (AAC). Similarly, Traditional line charts on top-eight acronyms provide us with messages, including (i) DNA and RNA are popular over three decades; (ii) CT, MRI, HIV, SARS, and CoV start in 1972, 1985, 1986, 2003, and 2003, respectively; (iii) the number of COVID substantially surpasses over other seven acronyms in 2020 though the seven acronyms are almost equal in quantity in 2020. We are interested in producing similar Table 1 and Fig. 1 with a video MP4 provided to readers who can click on the link to manipulate the scenarios on their own. We found that the AAC and the traditional line charts on a dashboard make data clear for a better understanding of demonstrating the ascendancy of COVID-19 research using acronyms. The line charts are easily examined on Google Maps.

Keywords: Google maps; COVID-19; Absolute advantage coefficient; Line chart; Acronym (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-021-04108-5

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