An Automatic Method to Identify Citations to Journals in News Stories: A Case Study of UK Newspapers Citing Web of Science Journals

作     者：Kayvan Kousha Mike Thelwall 

作者机构：Statistical Cybermetrics Research GroupSchool of Mathematics and Computer ScienceUniversity of Wolverhampton 

出 版 物：《Journal of Data and Information Science》 (数据与情报科学学报（英文版）)

年 卷 期：2019年第4卷第3期

页      面：73-95页

核心收录：

学科分类：0303[法学-社会学] 1205[管理学-图书情报与档案管理] 1204[管理学-公共管理] 0302[法学-政治学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 05[文学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Citation analysis News stories Public engagement Public impact UK newspapers Web of Science journals 

摘      要：Purpose: Communicating scientific results to the public is essential to inspire future researchers and ensure that discoveries are exploited. News stories about research are a key communication pathway for this and have been manually monitored to assess the extent of press coverage of ***/methodology/Approach: To make larger scale studies practical, this paper introduces an automatic method to extract citations from newspaper stories to large sets of academic journals. Curated ProQuest queries were used to search for citations to 9,639 Science and3,412 Social Science Web of Science(WoS) journals from eight UK daily newspapers during2006–2015. False matches were automatically filtered out by a new program, with 94% of the remaining stories meaningfully citing ***: Most Science(95%) and Social Science(94%) journals were never cited by these newspapers. Half of the cited Science journals covered medical or health-related topics,whereas 43% of the Social Sciences journals were related to psychiatry or psychology. From the citing news stories, 60% described research extensively and 53% used multiple sources,but few commented on research *** Limitations: The method has only been tested in English and from the ProQuest Newspapers *** implications: Others can use the new method to systematically harvest press coverage of ***/value: An automatic method was introduced and tested to extract citations from newspaper stories to large sets of academic journals.