收稿日期: 2016-05-22
修回日期: 2016-07-02
网络出版日期: 2016-08-05
基金资助
本文系国家社会科学基金项目西部项目“学术期刊的数字化转型升级研究”（项目编号：15XXW001）和教育部人文社会科学研究一般项目“高校哲学社会科学期刊数字化建设研究”（项目编号：14YJAZH100）研究成果之一。
Analysis on Transmission Characteristics and Influence of Altmetrics Hot Papers
Received date: 2016-05-22
Revised date: 2016-07-02
Online published: 2016-08-05
[目的/意义] 研究Altmetrics热点论文的传播特性，阐释学术内容的学术影响力和社会影响力。[方法/过程] 以www.altmetric.com热点论文的数据为基础，双向分析热点论文的Altmetrics分值与Web of Science被引次数的相关性，并讨论其传播渠道的多样性、传播主体的分布以及学术内容在社交媒体的传播影响。[结果/结论] 学科的差异影响Altmetrics与传统引文分析的相关性。公众为学术内容社交传播的主体，科学家利用社交媒体推广学术内容的比例呈逐年增长趋势。热点论文在Twitter上的传播一般在10-30d达到峰值，影响其传播的因素主要包括：学术传播内容的显著性和新奇性、学术传播的内需、开放获取、学术内容的营销途径等。虽然Altmetrics有速度和广度的优势，但也存在理论方法缺失、认知程度不高、数据质量较低、商业驱动浓厚、容易博弈等缺点。
郭飞 , 游滨 , 薛婧媛 . Altmetrics热点论文传播特性及影响力分析[J]. 图书情报工作, 2016 , 60(15) : 86 -93 . DOI: 10.13266/j.issn.0252-3116.2016.15.012
[Purpose/significance] This paper aims at analyzing the transmission characteristics of Altmetrics hot papers, to reflect the scholarly influence and social influence of academic contents.[Method/process] Based on the data of hot papers from www.altmetric.com, it analyzes the correlation between Altmetrics score and citation frequency of Web of Science (WOS), discusses the diversity of its transmission channels, distribution of its transmission subjects, and transmission effect of academic contents on social media.[Result/conclusion] The results show that difference of disciplines affect the correlation between Altmetrics score and WOS citation frequency. The public is the main subject to broadcast academic contents through social media, and scientists tend to use social media to expand academic contents transmission year by year. In twitter, hot papers reach a transmission peak in 10 to 30 days. The main factors influencing the transmission breadth and speed of academic contents include:the significance novelty of academic contents, domestic demand of scholarly communication, open access, marketing strategies of academic contents, etc. Although the transmission efficiency of Altmetrics is further and faster, it has the defects of lacking theoretical methods, low degree of awareness, poor data quality, strong business drives and easily to be game.
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