标题： 网络浏览及其他因素对研究出版物的因果影响 显示英文标题

标题： Causal Impact of Web Browsing and Other Factors on Research Publications

摘要： 在本文中，我们研究了网络搜索活动对研究出版物的因果影响。我们考虑了观察性前瞻性研究设计，其中研究了267位科学家的研究活动。我们考虑了泊松回归和负二项回归模型进行分析。根据赤池模型选择准则，我们发现负二项回归比泊松回归表现更好。详细分析表明，2016年与科学索引网站相关的较高网络搜索活动对2017年的研究出版物有积极显著的影响。我们观察到，2016年的独特合作和2016年的网络搜索活动对2017年的研究出版物有非线性但显著的正面影响。假设分析表明，高网络浏览活动会导致更多的出版物数量。然而，有趣的是，我们发现如果科学家的最大点击量是科学索引期刊，那么低网络活动的科学家也可以和其他人一样有生产力。也就是说，如果科学家仅将网络浏览用于与研究相关的活动，那么即使她的网络活动低于其他科学家，她也可以同样有生产力。 显示英文摘要

摘要： In this paper, we study the causal impact of the web-search activity on the research publication. We considered observational prospective study design, where research activity of 267 scientists is being studied. We considered the Poisson and negative binomial regression model for our analysis. Based on the Akaike's Model selection criterion, we found the negative binomial regression performs better than the Poisson regression. Detailed analysis indicates that the higher web-search activity of 2016 related to the sci-indexed website has a positive significant impact on the research publication of 2017. We observed that unique collaborations of 2016 and web-search activity of 2016 have a non-linear but significant positive impact on the research publication of 2017. What-if analysis indicates the high web browsing activity leads to more number of the publication. However, interestingly we see a scientist with low web activity can be as productive as others if her/his maximum hits are the sci-indexed journal. That is if the scientist uses web browsing only for research-related activity, then she/he can be equally productive even if her/his web activity is lower than fellow scientists.