网络浏览和其他因素对研究出版物的因果影响
Causal Impact of Web Browsing and Other Factors on Research Publications
摘要：
在本文中，我们研究的因果关系的影响，网络搜索活动的科研出版物。我们考虑了观察性前瞻性研究设计，其中研究了267名科学家的研究活动。我们考虑了泊松和负二项回归模型进行分析。基于赤池模型选择准则，我们发现负二项回归比泊松回归表现更好。详细的分析表明，2016年与科学索引网站相关的更高的网络搜索活动对2017年的研究出版物产生了积极的显著影响。我们观察到，2016年的独特合作和2016年的网络搜索活动对2017年的研究出版物产生了非线性但显著的积极影响。假设分析表明，高网络浏览活动导致更多的出版物。然而，有趣的是，我们看到一个网络活跃度低的科学家可以和其他人一样多产，如果她/他的最大点击量是sci索引期刊。也就是说，如果科学家只在与研究相关的活动中使用网络浏览，那么即使她/他的网络活动低于其他科学家，她/他也可以同样富有成效。
英文摘要：
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.
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