Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics
作者：
Highlights：
• Regression models were used to elicit bibliometric features of emerging topics.
• In certain fields, bibliometric features help to detect emerging topics.
• Influencing factors are interdisciplinarity, environment as well as source.
• Engineering yielded the most features: number of authors, age and size of journal.
• Other supporting factors were the JIF, reference fields and number of countries.
摘要
•Regression models were used to elicit bibliometric features of emerging topics.•In certain fields, bibliometric features help to detect emerging topics.•Influencing factors are interdisciplinarity, environment as well as source.•Engineering yielded the most features: number of authors, age and size of journal.•Other supporting factors were the JIF, reference fields and number of countries.
论文关键词：Bibliometrics,Emerging topics,Identification,Early-stage
论文评审过程：Received 2 March 2015, Revised 10 September 2015, Accepted 10 September 2015, Available online 19 November 2015, Version of Record 19 November 2015.
论文官网地址：https://doi.org/10.1016/j.joi.2015.09.004
