Chinese Ph.D. students' perception of predatory journals

The aim of this study is to investigate Chinese Ph.D. students' attitudes towards predatory journals. An online questionnaire was distributed and 332 respondents from various disciplines and institutions shared their opinions. The result showed that the majority of respondents (n=271; 81.32%) never heard about predatory journals. Among those who knew what predatory journals are (n=61, 18.68%), thought that predatory journals had bad reputation, low quality and poor peer-review process. They agreed that such journals charge high APC but published quickly. The results also indicated that the awareness of predatory journals was influenced by respondents' gender, research experience and publishing experience. Male respondents knew more about predatory journals than female respondents. Respondents who had rich research and publishing experiences were more likely to identify predatory journals. Regarding further publishing intention, 124 respondents (37.35%) said they might try predatory journals to achieve assessing requirements, and 208(62.65%) respondents refused

Should We Care How Long to Publish? Investigating the Correlation between Publishing Delay and Journal Impact Factor

This poster presents a research that examines the correlation between publishing delay and impact factor of academic journals.Data of 9,028 articles in 91 library and information sciences (LIS) and biology journals were collected from WoS Journal Citation Report (JCR 2016), and then analyzed and compared. The data analysis shows that LIS journals have greater publishing delay than biology journals. The study result shows that there is no correlation between publishing delay and journal impact factor, although, a small negative correlation for biology journals and a small positive correlation for information science journals can be seen

How Poverty, Residence Status and Health Insurance Predict Unmet Healthcare Needs among Chinese Elders?

This study focuses on the variability in unmet healthcare needs among vulnerable Chinese elders and the degree to which these unmet needs are associated with socioeconomic disadvantages. We use the 2013 wave of China Health and Retirement Longitudinal Study (CHARLS) and a multinomial logistic model to investigate how poverty, residence status and particular health insurance schemes influence unmet healthcare needs independently and in combination. Our results show that poverty and rural residence are strong predictors of unmet healthcare needs due to financial and non-financial constraints, respectively. Although health insurance can reduce financial barriers, its influence varies with different insurance schemes, thus generating unequal healthcare access among heterogeneous vulnerable subgroups of elders and putting poor rural migrants at the highest risk for unmet healthcare needs. Our findings direct attention to the differences in resources available to various subgroups of elders and the importance of social stratification in predicting unmet health care needs