论文标题
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
论文作者
论文摘要
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。我们考虑了观察性的前瞻性研究设计，其中正在研究267位科学家的研究活动。我们考虑了我们的分析的泊松和负二项式回归模型。根据Akaike的模型选择标准，我们发现负二项式回归的性能要比泊松回归更好。详细的分析表明，与Sci-Indexed网站相关的2016年较高的网络搜索活动对2017年的研究出版物产生了积极的显着影响。我们观察到，2016年的独特合作和2016年的Web-Search活动具有非线性但重大的积极影响，这对2017年的研究出版物。何种分析表明，如果较高的网络培养活动导致了出版物的较高的出版物。但是，有趣的是，如果他/他的最大命中率是Sci-Indexneard的日记，我们看到一个具有低网络活动的科学家可能与其他人一样有效。也就是说，如果科学家仅用于与研究相关的活动进行网络浏览，那么即使她/他的网络活动低于其他科学家，她也可以同样有效。
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.
