利用HistCite和Biblioshiny对Web of Science数据库中的意外文献进行文献计量学综述

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Discovery and Delivery Pub Date : 2023-07-24 DOI:10.1108/idd-01-2023-0001

Abhijit Thakuria, Indranil Chakraborty, Dipen Deka

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引用次数: 0

摘要

目的:网站、搜索引擎、推荐系统、人工智能和数字图书馆都有可能支持意外发现，即与信息和想法进行意想不到的交互，从而导致受欢迎的信息发现。本文旨在探讨意外发现的研究现状，特别是与信息相遇相关的意外发现。设计/方法/方法本研究对从Web of Science中提取的166项关于serendipity的研究进行了文献计量学综述。两种文献计量分析工具HisCite和RStudio (Biblioshiny)用于30年的数据。论文的引用计数和书目记录使用HisCite进行评估。此外，使用RStudio (Biblioshiny)软件对重要来源、国家、关键词以及作者和机构的合作网络进行可视化评估。从1989年到2022年，共发现了166篇关于意外发现的论文，并确定了其中最有影响力的作者、文章、期刊、机构和国家。研究结果:2019年发表了11篇论文，数量最多。Makri和Erdelez是对意外发现的研究最有影响力的作者。《文献学报》是国内排名第一的期刊。伦敦大学学院(University College London)是对意外发现的研究贡献最多的著名机构。英国和美国是贡献研究数量最多的突出国家。意外发现研究的作者模式揭示了大多数研究的单一作者参与。OA Green模型是研究serendipity的作者最喜欢的研究文章归档模型。此外，大部分研究成果的引用数在0 - 50之间。原创性/价值据作者所知，本文可能是图书馆情报学研究中首次使用文献计量学工具对偶然性研究进行文献计量学分析。这篇论文肯定会为其他偶然发现的研究人员开辟新的途径。

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A bibliometric review on serendipity literature available in Web of Science database using HistCite and Biblioshiny

Purpose Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering. Design/methodology/approach This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined. Findings The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50. Originality/value To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.

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来源期刊

Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.40

自引率

4.80%

发文量

期刊介绍： Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.