{"title":"Two separated worlds: On the preference of influence in life science and biomedical research","authors":"Zuguang Gu","doi":"10.1016/j.joi.2025.101641","DOIUrl":null,"url":null,"abstract":"<div><div>We introduced a new metric, “citation enrichment”, to measure country-to-country influence using citation data. This metric evaluates the degree to which a country prefers to cite another country compared to a random citation process. We applied the citation enrichment method to over 12 million publications in the life science and biomedical fields and we have the following key findings: 1) The global scientific landscape is divided into two separated worlds where developed Western countries exhibit an overall mutual under-influence with the rest of the world; 2) Within each world, countries form clusters based on their mutual citation preferences, with these groupings strongly associated with their geographical and cultural proximity; 3) The two worlds exhibit distinct patterns of the influence balance among countries, revealing underlying mechanisms that drive influence dynamics. We have constructed a comprehensive world map of scientific influence which greatly enhances the deep understanding of the international exchange of scientific knowledge. The citation enrichment metric is developed under a well-defined statistical framework and has the potential to be extended into a versatile and powerful tool for bibliometrics and related research fields.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 2","pages":"Article 101641"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-21","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/S1751157725000057","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
We introduced a new metric, “citation enrichment”, to measure country-to-country influence using citation data. This metric evaluates the degree to which a country prefers to cite another country compared to a random citation process. We applied the citation enrichment method to over 12 million publications in the life science and biomedical fields and we have the following key findings: 1) The global scientific landscape is divided into two separated worlds where developed Western countries exhibit an overall mutual under-influence with the rest of the world; 2) Within each world, countries form clusters based on their mutual citation preferences, with these groupings strongly associated with their geographical and cultural proximity; 3) The two worlds exhibit distinct patterns of the influence balance among countries, revealing underlying mechanisms that drive influence dynamics. We have constructed a comprehensive world map of scientific influence which greatly enhances the deep understanding of the international exchange of scientific knowledge. The citation enrichment metric is developed under a well-defined statistical framework and has the potential to be extended into a versatile and powerful tool for bibliometrics and related research fields.
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.