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Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms
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 classi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916907/ https://www.ncbi.nlm.nih.gov/pubmed/35309245 http://dx.doi.org/10.1007/s11192-022-04302-z |
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author | Chow, Julie Chi Chien, Tsair-Wei Chou, Willy |
author_facet | Chow, Julie Chi Chien, Tsair-Wei Chou, Willy |
author_sort | Chow, Julie Chi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8916907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89169072022-03-14 Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms Chow, Julie Chi Chien, Tsair-Wei Chou, Willy Scientometrics Article 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. Springer International Publishing 2022-03-12 2022 /pmc/articles/PMC8916907/ /pubmed/35309245 http://dx.doi.org/10.1007/s11192-022-04302-z Text en © Akadémiai Kiadó, Budapest, Hungary 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Chow, Julie Chi Chien, Tsair-Wei Chou, Willy Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title | Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title_full | Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title_fullStr | Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title_full_unstemmed | Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title_short | Suggestions to the article: demonstrating the ascendancy of COVID-19 research using acronyms |
title_sort | suggestions to the article: demonstrating the ascendancy of covid-19 research using acronyms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8916907/ https://www.ncbi.nlm.nih.gov/pubmed/35309245 http://dx.doi.org/10.1007/s11192-022-04302-z |
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