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Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar's Publications

机译:学术产出图:文章水平的图形指标,表明学者出版物的影响

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Statistically, top scholars tend to accumulate a large number of publications during their tenure. While the patterns illustrating their scientific impact are monotonous and it is difficult to get a concrete comprehension to the academic development of the scholars' output. So we address the issue of graphically presenting and comparing the impact of individual scholars' publications. Besides, with the development of Web 2.0, more information about the social impact of a scholar's work is becoming increasingly available and relevant. Thus comes the challenge of how to quickly compare among a scholar's entire collection of publications, and pinpoint those with higher social popularity as well as academic influence. To this end, we propose a graphical article-level metric, namely Scholarly Output Graph (SOG). SOG captures three dimensions including journal impact factor (JIF), scientific impact and social popularity, and reflects not only the quality of the publications but also the immediate responses from social networks. With the visual cues of block length, width and color, users can intuitively locate articles of higher scientific impact, JIF and social popularity. Additionally, SOG proves to be widely applicable, practical and flexible as a navigation tool for filtering publications.
机译:从统计上讲,顶尖学者倾向于在任职期间积累大量出版物。虽然说明它们的科学影响的模式是单调的,但很难对学者的产出的学术发展有一个具体的理解。因此,我们解决了以图形方式呈现和比较单个学者出版物的影响的问题。此外,随着Web 2.0的发展,关于学者作品的社会影响的更多信息变得越来越有用和相关。因此,面临的挑战是如何在学者的全部出版物之间进行快速比较,并找出具有较高社会知名度和学术影响力的出版物。为此,我们提出了一种图形化的文章级指标,即学术输出图(SOG)。 SOG涵盖了三个方面,包括期刊影响因子(JIF),科学影响和社会知名度,不仅反映了出版物的质量,还反映了社交网络的即时反应。借助块长度,宽度和颜色的视觉提示,用户可以直观地找到具有更高科学影响力,JIF和社会知名度的文章。此外,SOG被证明是用于过滤出版物的导航工具,具有广泛的适用性,实用性和灵活性。

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