{"title":"Trends in emerging topics generation across countries in life science and medicine","authors":"Bryan Mathis , Ryosuke L. Ohniwa","doi":"10.1016/j.joi.2024.101552","DOIUrl":null,"url":null,"abstract":"<div><p>While advantages of global homogenization and standardization have been discussed on scientific and technological research activities, specific discussion on the disadvantages to generate scientific innovation has been limited. In this study, we aim to clarify the impact of globalization to generate emerging topics in life science and medicine by applying the emerging keywords (EKs) and highly successful emerging keywords (HS-EKs) methodology, which represent scientometric elements of emerging topics and high-impact emerging topics, respectively, as indicators. We analyzed all paper output from 53 countries using PubMed and found a global increase in paper output and EK generation in line with economic growth in the past 50 years. However, the efficiency to generate scientific innovation, reflected in HS-EKs, was significantly reduced and this effect was independent of country-level economic output. We also reported homogenization in research topics over the study period as a possible factor for the observed decrease in HS-EK generation efficiency. Finally, we discuss the foundational issues that gave rise to homogenized science, the impact on scientific innovation, and what policies might be necessary to repair the scientific innovation-generating engine.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 3","pages":"Article 101552"},"PeriodicalIF":3.4000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Informetrics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1751157724000658","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
While advantages of global homogenization and standardization have been discussed on scientific and technological research activities, specific discussion on the disadvantages to generate scientific innovation has been limited. In this study, we aim to clarify the impact of globalization to generate emerging topics in life science and medicine by applying the emerging keywords (EKs) and highly successful emerging keywords (HS-EKs) methodology, which represent scientometric elements of emerging topics and high-impact emerging topics, respectively, as indicators. We analyzed all paper output from 53 countries using PubMed and found a global increase in paper output and EK generation in line with economic growth in the past 50 years. However, the efficiency to generate scientific innovation, reflected in HS-EKs, was significantly reduced and this effect was independent of country-level economic output. We also reported homogenization in research topics over the study period as a possible factor for the observed decrease in HS-EK generation efficiency. Finally, we discuss the foundational issues that gave rise to homogenized science, the impact on scientific innovation, and what policies might be necessary to repair the scientific innovation-generating engine.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.