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논문 기본 정보

자료유형
학술저널
저자정보
Jiapei Li (Hebei Geology University) Seong Yoon Shin (Kunsan National University) Hyun Chang Lee (Wonkwang University)
저널정보
한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.15 No.3
발행연도
2017.9
수록면
165 - 169 (5page)

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초록· 키워드

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Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

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Abstract
I. INTRODUCTION
II. DATASETS AND METHODS
III. RESEARCH AND ANALYSIS
IV. CONCLUSIONS AND OUTLOOKS
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