In the current highly competitive scientific landscape, faculty hiring committees and grant review panels need to make difficult predictions about the likelihood of a researcher’s future scientific success. Citation metrics provide a numerical approach of measuring the quality and impact of a researcher’s work. The principle of citation metrics is constructed on the assumption that if a researcher’s work was cited by another researcher, it had an impact on their research. The validity of this assumption is, however, questionable.
In this course, we will introduce discuss the importance of using citation metrics in research evaluation. We will also introduce various forms of traditional citation metrics such as journal-, author- and usage-based metrics. We will discuss their salient features as well as their pros and cons. We will provide information about the various scholarly indexes and social media outlets which generate data to compute these metrics. Furthermore, we will also focus on some key initiatives which lead to the development of alternate metrics or altmetrics. Finally, we will discuss future challenges and the impact of Open Access in the development of Next-Gen metrics.
- Awareness of the relevance of citation metrics
- Understanding author-based, journal-based, and usage-based metrics
- Understanding scholarly indexes and challenges of citation metrics
- Maintaining and improving metrics for researchers
- Using citation metrics to promote research
이나고 아카데미에서는 연구자를 위한 최신 종합 연구 자료를 연구원, 출판사, 에디터, 연구출판에 관한 지식을 배우고 공유하고자 하는 학생들에게 제공하고 있습니다. 공통 플랫폼에서는 산업 전문가와 협력하여 활발한 토론과 지식 공유가 이루어지는 장소로 이나고 아카데미를 만들 계획입니다.
국제적으로 연구원들이 언어 장벽을 제거하도록 돕는 서비스 경험을 바탕으로 아이디어와 도전으로 인해 전세계 독자와 소통할 수 있는 새로운 길을 만들어나갈 생각입니다.