文章摘要

赵蓉英,魏明坤,汪少震.基于Altmetrics的开源软件学术影响力评价研究[J].中国图书馆学报,2017,43(2):80~95
基于Altmetrics的开源软件学术影响力评价研究
Evaluation of Academic Impact of Open Source Software Based on Altmetrics
投稿时间:2016-12-01  修订日期:2017-01-17
DOI:
中文关键词: Altmetrics  ImpactStory  开源软件  学术影响力
英文关键词: Altmetrics  ImpactStory  Open source software  Academic impact
基金项目:本文系国家社会科学基金项目“中国学者国际学术论文影响力评价研究”(编号:16BTQ055)的研究成果之一
作者单位
赵蓉英 武汉大学信息管理学院 湖北 武汉 430072 
魏明坤 武汉大学信息管理学院 湖北 武汉 430072 
汪少震 武汉大学信息管理学院 湖北 武汉 430072 
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中文摘要:
      开源软件在学术领域的应用不断增多,但其在学术领域的影响力还没有引起足够的重视。本文利用Altmetrics,对开源项目Depsy中Python社区的部分软件从下载量、文献被引次数以及软件之间的复用次数三方面对开源软件的学术影响力进行评价和分析。研究发现:①随着Web2.0的发展,学术影响力的评价不仅包括论文、专著、研究报告等传统形式的学术研究成果,还包括博客、视频、数据集、软件代码等非传统形式的学术研究成果;②开源软件的发展对学术领域的创新具有催化作用;③Python社区中各软件的影响力差距较大,大部分软件的学术影响力还很低。研究开源软件学术影响力,有利于丰富学术影响力评价的研究内容,完善学术影响力评价体系。图5。表3。参考文献40。
英文摘要:

    The development of Internet and social media has an increasingly stronger influence on academic communication with the advent of Web 2.0 technology. Nowadays academic achievements include not only papers but also non-paper forms of research results,such as blogs,videos,data sets,software code etc. Academic influence is the impact on scientific research achievements and academic status in academia. These non-paper forms of academic research should be also included in the evaluation system of scholars or academic achievements. Open source software,as a non-paper form of academic achievements,plays an important role in scientific research. The development of Altmetrics not only enriches the development of metrology but also provides a new perspective and method for the evaluation of academic influence. At present,there are lots of studies on non-traditional evaluation indicators,but the researches on the evaluation object are relatively few,especially those on open source software,which plays an important role in academic research. The number of downloads,the number of citations,and the number of reuse between applications for academic research are concrete reflections of its academic influence. At the same time,the open source community and the development of computer technology make the research tools of software more and more abundant.

    Firstly,the index database of the website Depsy is obtained in the paper,and the open source community of Python is researched and analyzed through the data provided by ImpactStory. Then the third-party library Python pandas is used for extraction of the required attributes,i.e. software library downloads,the cited academic literature and the relationship between the reuse of software for further study of the academic influence of open source software,and finally the three indicator data were analyzed. From the results of the software community analysis in the Python community,three indicators-downloads,citation counts,and software reuse-successfully screened out popular software in their communities. From the perspective of users,software reflects the ordinary users to use more academic papers,the authors quoted for many times,and software developers to reuse more times. There is a certain correlation between the three indicators,such as software’s dependence that will lead to the increasing on the number of software downloads. The increasing number of citations in academic papers has led to an increase in the use of the software in the academic field. The correlation between download and reuse is relatively high,which indicates that the dependency between software has a direct impact on the download; the correlation between citation and reuse is low,which is attributed to the difference between scholars and developers,and the citation index of the software in the academic literature reflects the academic influence.

    Finally,we can reach the following conclusions:1) the evaluation of academic influence includes not only the academic achievements of the thesis,but also the research results in non-paper form. 2) We found that the development of open source software innovation has promoted the creativity in the academic field by research on the impact evaluation of open source software based on Altmetrics. 3) There is a big gap between the software in the Python community,and most of the academic influence on the software is still low. The limitation of this paper lies in the fact that the standard of “academic” software needs to be further refined. We think that the accuracy of the method of matching the keywords,such as the name and introduction of the software library,needs to be further improved. Besides,we need to strengthen the impact of academic software in-depth study in order to draw more comprehensive and scientific conclusions. 5 figs. 3 tabs. 40 refs.

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