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对该文章的建议:展示使用首字母缩略词的COVID-19研究的优势。

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

作者信息

Chow Julie Chi, Chien Tsair-Wei, Chou Willy

机构信息

Department of Paediatrics, Chi Mei Medical Center, Tainan, 700 Taiwan.

Department of Pediatrics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 100 Taiwan.

出版信息

Scientometrics. 2022;127(5):2897-2899. doi: 10.1007/s11192-022-04302-z. Epub 2022 Mar 12.

Abstract

The article published on 16 May 2021 is interesting and impressive, particularly on the Figure displaying several acronyms in trend. Although the most popular eight acronyms in 2019 and 2020 are individually highlighted and labeled, how to determine the points in 2019 and 2020 is required for classifications. The analysis for the evolution of keywords is common and necessary in the bibliographic study. None of the studies addressed the determination of the bursting point for a given keyword over the years. We aim to illustrate the way to determine the inflection point on a given ogive curve and apply the temporal bar graph (TBG) to interpret the trend of a specific keyword (or acronym). The prediction model is based on item response theory, commonly used in educational and psychometric fields. The eight acronyms presented in the previous study were demonstrated using the TBG. We found that the TBG includes more valuable information than the traditional trend charts. The inflection point denoted the topic burst indicates the turning point suddenly from increasing to decreasing. The TBG combined with the inflection point to represent the trend of a given keyword can make the data in trend easier and clearer to understand than any graph used in ever before bibliometric analyses.

摘要

2021年5月16日发表的这篇文章很有趣且令人印象深刻,特别是在展示几个呈趋势变化的首字母缩略词的图表方面。尽管2019年和2020年最流行的八个首字母缩略词都被单独突出显示并标注了,但分类时需要确定2019年和2020年的时间点。在文献研究中,对关键词演变的分析是常见且必要的。以往的研究都没有涉及多年来给定关键词爆发点的确定方法。我们旨在说明在给定的累积分布曲线上确定拐点的方法,并应用时间条形图(TBG)来解读特定关键词(或首字母缩略词)的趋势。该预测模型基于项目反应理论,常用于教育和心理测量领域。前一项研究中呈现的八个首字母缩略词通过时间条形图进行了展示。我们发现,时间条形图比传统趋势图包含更有价值的信息。表示主题爆发的拐点表明从增长突然转向下降的转折点。将时间条形图与拐点相结合来表示给定关键词的趋势,能使趋势数据比以往文献计量分析中使用的任何图表都更易于理解且更清晰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ee/8916907/0fb76b47500a/11192_2022_4302_Fig1_HTML.jpg

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