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人工智能领域期刊论文和图书的比较分析——基于文献计量和替代计量指标
引用本文:杨思洛,于永浩.人工智能领域期刊论文和图书的比较分析——基于文献计量和替代计量指标[J].农业图书情报学刊,2019(5):5-12.
作者姓名:杨思洛  于永浩
作者单位:武汉大学信息管理学院
基金项目:国家社科基金重点项目“中国人文社科学术成果的国际影响力综合评价研究”(项目编号:17ATQ009)
摘    要:目的/意义]在新的环境下研究成果具有不同载体形态,也表现出不同类型的影响力,以人工智能领域为例,从多个角度反映论文和图书类型成果的影响力差异,为新环境下,学术成果全面影响力评价提供借鉴。方法/过程]结合文献计量与替代计量方法,选取人工智能领域的学术论文和图书,从国别作者与年代分布、影响力指标、和主题内容等方面进行分析。结果/结论]人工智能领域论文和图书类型成果数量的国家分布较为相似;论文和图书的高产作者重合度低,差异较大。总体上,无论是引文还是替代计量指标,论文相关指标值都高于图书类型。在主题内容方面论文主题更加新颖具体,反映当下研究热点;图书主题较为概括,可以发掘处于上升阶段的热点,论文和图书主题对分析领域发展阶段都很重要。局限]笔者以人工智能领域为例,未来可以扩展研究领域范围,引入更多替代计量指标,更全面地评价学术成果的影响力。

关 键 词:人工智能  图书  文献计量学  替代计量学  影响力评价

Comparison of Artificial Intelligence Papers and Books Based on Citation and Altmetric Indicators
YANG Siluo,YU Yonghao.Comparison of Artificial Intelligence Papers and Books Based on Citation and Altmetric Indicators[J].Journal of Library and Information Sciences in Agriculture,2019(5):5-12.
Authors:YANG Siluo  YU Yonghao
Institution:(School of Information Management, Wuhan University, Hubei Wuhan 430072, China)
Abstract:Purpose/significance] In the new research environment, research achievements are available on diverse formats and show different impacts. This paper compares impact of books and papers in artificial intelligence from various angles, and provides reference for comprehensive academic evaluation in the new environment.Method/process] The paper combines bibliometrics and Altmetrics, and selects academic pa-pers and books in artificial intelligence, then compares them from aspects of country/author/age distribution, impact indicators, and subject content.Result/Conclusion] In the field of artificial intelligence, for the number of published papers and books, the distributions of countries are relatively similar;the high-yield authors of both formats overlap little. In general, whether citation or altmetric indicators, the values of these indicators in papers are higher than those in books. In the aspect of subject, In the aspect of subject, topic words of papers are more novel and specific, reflecting the current research hotspots;but those of books are more general and explore the hotspots in the ascending stage. Both are important to analyse development stage of the field.Limitations] This paper only focused on the field of artificial intelligence. In the future, we can expand the scope of research, obtain more data, combine more altmetric indicators to evaluate the impact of academic achievements more comprehensively.
Keywords:artificial intelligence  books  bibliometrics  Altmetrics  impact evaluation
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