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usage count： A New Indicator to Detect Research Fronts

Journal of Data and Information Science 2017年第1期2卷 89-104页

作者： Guoqiang Liang Haiyan Hou Zhigang Hu Fu Huang Yajie Wang Shanshan Zhang WISE Lab Dalian University of Technology Dalian 116023 China

Purpose： Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of usage count as a new indicator to detect research fronts in shortening the time lag of classic indicators in research fronts detection. Design/methodology/approach： An exploratory study was conducted where the new indicator ＂usage count＂ was compared to the traditional citation count, ＂times cited,＂ in detecting research fronts of the regenerative medicine domain. An initial topic search of the term ＂regenerative medicine＂ returned 10,553 records published between 2000 and 2015 in the Web of Science （WoS）. We first ranked these records with usage count and times cited, respectively, and selected the top 2,000 records for each. We then performed a co-citation analysis in order to obtain the citing papers of the co-citation clusters as the research fronts. Finally, we compared the average publication year of the citing papers as well as the mean cited year of the co-citation clusters. Findings： The citing articles detected by usage count tend to be published more recently compared with times cited within the same research front. Moreover, research fronts detected by usage count tend to be within the last two years, which presents a higher immediacy and real-time feature compared to times cited. There is approximately a three-year time span among the mean cited years （known as ＂intellectual base＂） of all clusters generated by usage count and this figure is about four years in the network of times cited. In comparison to times cited, usage count is a dynamic and instant indicator. Research limitations： We are trying to find the cutting-edge research fronts, but those generated based on co-citations may refer to the hot research fronts. The usage count of older highly cited papers was not taken into consideration, because the usage count indicator released by W

关键词： Research front Citation analysis usage count Times cited

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图书馆工作与研究 2022年第4期 79-88+128页

作者：秦奋朱梦茹高健王全红大连理工大学图书馆

文章选取2014-2020年ESI数据库中的中美高被引论文为研究对象，运用R语言中的Jamovi程序进行相关性分析、主成分分析，对比分析usage count、Altmetrics及引用量指标之间的关系，得到不同指标间的相关性和差异性，评估各指标对学术评价... 详细信息

文章选取2014-2020年ESI数据库中的中美高被引论文为研究对象，运用R语言中的Jamovi程序进行相关性分析、主成分分析，对比分析usage count、Altmetrics及引用量指标之间的关系，得到不同指标间的相关性和差异性，评估各指标对学术评价的影响，探索更合理的学术评价方法，为建立更丰富、全面、客观的学术评价体系提供理论和数据支持。

关键词：学术评价 usage count Altmetrics ESI 高被引 Jamovi

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Impact factor research of open -access (OA) papers in Chinese social sciences

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Data Science and Informetrics 2021年第4期1卷 98-112页

作者： Bo Yu Chinese Academy of Science and Education Evaluation Hangzhou Dianzi UniversityHangzhouChina

Open-access(OA)Papers'impact research has become more and more popular in scientific evaluation,and it is also an important issue that scientific research management departments have been *** previous studies have focused on the influence of traditional literature indicators research papers,this study combines traditional literature indicators and Altmetrics *** article uses the data of Chinese social science open-access(OA)papers in WoS for the past 5 years as a sample and uses descriptive statistics,correlation analysis,and regression analysis to explore the impact of traditional paper indicators and Altmetrics indexes on the use of *** results show that both literature indexes and social media indexes have a significant impact on the use of papers,and deepen the understanding of the impact factor of research ***,the results of this study prove that traditional literature indexes and social media indexes have an impact on the use of *** method promotes the role of social media indexes in the influence of paper ***,the reasons for the influence factors of the paper are analyzed,and relevant suggestions are put forward.

关键词： Open access Influencing factors Altmetrics Cited times usage count

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