4篇
您的检索式：作者名="YU Houqiang"
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| 1 | Features of Sina Weibo altmetrics indicator显示文摘With statistical analysis of Weibo altmetrics indicator, the paper explored features of a typical altmetrics indicator in Chinese environment. Results show that the coverage of Weibo is below 1%. However, the coverage is underestimated due to limitation of tracking time and objects. Weibo mentions and discusses articles mainly from disciplines like 'General', 'Biochemistry, genetics and molecular biology', 'Health science', 'Medicine' and 'Life science' etc. In addition to traditional distinguished interdisciplinary journals like Nature, preprint platform and open access journal like ar Xiv, PLo S ONE and SSRN also drew much attention from Weibo. Meanwhile, 'Biology Science' and 'Medical science' have the most highlighted journals. Weibo mainly tracks latest articles, reflected in that articles tracked within 180 days occupy 68.66%, it also tracks classic articles. Weibo authors prefer to disseminate, recommend and criticize articles that are adherent to daily life, funny, useful or related to health, which conveys social value and scholarly value beyond citations. Weibo altmetrics indicator is highly scattered and concentrated. 5.1% of the articles have harvested 50% of the weibos. Besides, articles tracked by Weibo gain global attention much higher than the average level. | YU Houqiang Bradley M.Hemminger XIAO Tingting QIU Junping | 2016 | Journal of Library Science in China2016，，1： | 0 |
| 2 | A case study on knowledge communication based on friends-list links in the science blogging community at Sciencenet.cn显示文摘Sciencenet.cn is the leading online portal serving the Chinese scientific community.This paper intends to analyze the interdisciplinary and intradisciplinary knowledge communication patterns based on friends-list links in the blog community at Sciencenet.cn by using hyperlink analysis and social network analysis.The major findings are:1)More bloggers have an academic background in management science and life science;2)there are some core actors in co-inlink network and co-outlink network,who take the lead in engaging with knowledge exchange activities and produce a great influence on interdisciplinary communication;3)interactive relationships commonly exist between a blogger and those on his/her friends list,and the most linked-to blogs usually play a key role in generating interactive communication;4)management science has the highest co-inlink count with life science or information science and it has the highest co-outlink count with life science or mathematical and physical science;5)management science and life science have the greatest impact on information science and the interdisciplinary knowledge communication will also produce relatively significant influence on the development of information science discipline.It is our hope that this research can serve as a reference source for the future studies of academic virtual communities,and the development of mechanisms for facilitating increased engagement in knowledge exchange activities in academic virtual communities. | Junping QIU Feifei WANG Houqiang YU | 2011 | Chinese Journal of Library and Information Science2011，，Z1： | 0 |
| 3 | Some basic problems in advancing the development of altmetrics显示文摘With systematic survey,induction and analysis of altmetrics literature,the study aimed to answer the following three questions:1)What does altmetrics study?What is it alternative for?2)What is the relationship between altmetrics indicators and traditional citation-based indicators?And why?3)Are altmetrics indicators valid?Are altmetrics indicators vulnerable and easy to | Junping QIU Houqiang YU | 2015 | Journal of Library Science in China2015，，1： | 0 |
| 4 | How is pandemic perceived in China?A case study of COVID-19显示文摘To help the government better understand and manage public sentiments,and help the public establish the values of rational participation in online discussions related to COVID-19,it is necessary to explore the themes and emotions of different subjects discussing the pandemic on social media platforms.The study takes a comprehensive view by combining social media and scholarly outputs data.In particular,WeChat articles are investigated to reveal the public concern and public sentiment towards COVID-19,and WeChat mentions to scholarly papers are identified to show the interaction between the public and researchers.Text analysis is conducted to construct co-occurrence networks and reveal the distribution of themes.VOSviewer is applied to network visualization.Statistical and comparative analysis showed that discussion about COVID-19 keeps hot on WeChat.WeChat offical accounts from the information industry dominate,suggesting a free and flexible discussing environment.Topics on WeChat overlap with that of scholarly papers but have a much broader scope.WeChat mentions to scholarly papers has bridged the public with the research and has a high coverage of 61.7%.Public sentiment in WeChat is positive,demonstrating good confidence in defeating the pandemic.These findings are helpful in understanding the social attitude towards and comprehensive perception of COVID-19 in China. | Houqiang Yu Longfei Li Yinghua Xie | 2023 | Data Science and Informetrics2023，3，4： | 0 |
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