Finding open access articles using Google, Google Scholar, OAIster and OpenDOAR

被引:28
|
作者
Norris, Michael [1 ]
Oppenheim, Charles [1 ]
Rowland, Fytton [1 ]
机构
[1] Univ Loughborough, Dept Informat Sci, Loughborough, Leics, England
关键词
Retrieval performance evalution; Internet; Information searches;
D O I
10.1108/14684520810923881
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose - The purpose of this paper is to demonstrate the relative effectiveness of a range of search tools in finding open access (OA) versions of peer reviewed academic articles oil the world wide web. Design/rnethodology/approach - Some background is given oil why and how academics may make their articles OA and how they may be found by others searching for them. Google, Google Scholar, OAIster and OpenDOAR were used to try to locate OA versions of peer reviewed journal articles drawn from three subjects (ecology, economics and sociology). Findings - Of the 2,519 articles, 967 were found to have OA versions on the world wide web. Google and Google Scholar found 76.84 per cent of them. The results from OpenDOAR and Mister were disappointing, but some,improvements are noted. Only in economics could OAIster and OpenDOAR be considered relative successes. Originality/value - The paper shows the relative effectiveness of the search tools in these three subjects. The results indicate that those wanting to find OA articles, in these subjects, for the moment at least should use the general search engines Google and Google Scholar first rather than OpenDOAR or OAIster.
引用
收藏
页码:709 / 715
页数:7
相关论文
共 50 条
  • [31] BIBLIOMETRIC ANALYSIS OF ENGINEERING RESEARCH USING VOSVIEWER INDEXED BY GOOGLE SCHOLAR
    Nandiyanto, Asep Bayu Dani
    Al Husaeni, Dwi Fitria
    [J]. JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2022, 17 (02): : 883 - 894
  • [32] Measuring the Research Productivity of Political Science Departments Using Google Scholar
    Peress, Michael
    [J]. PS-POLITICAL SCIENCE & POLITICS, 2019, 52 (02) : 312 - 317
  • [33] Using Google Scholar citations to rank accounting programs: a global perspective
    Chan J.Y.
    Chan K.C.
    Tong J.Y.
    Zhang F.
    [J]. Review of Quantitative Finance and Accounting, 2016, 47 (1) : 29 - 55
  • [34] The pros and cons of computing the h-index using Google Scholar
    Jacso, Peter
    [J]. ONLINE INFORMATION REVIEW, 2008, 32 (03) : 437 - 452
  • [36] On Using Grey Literature and Google Scholar in Systematic Literature Reviews in Software Engineering
    Yasin, Affan
    Fatima, Rubia
    Wen, Lijie
    Afzal, Wasif
    Azhar, Muhammad
    Torkar, Richard
    [J]. IEEE ACCESS, 2020, 8 : 36226 - 36243
  • [37] Historical Bibliometrics Using Google Scholar: The Case of Roman Law, 1727–2016
    Janne Plnen
    Bjrn Hammarfelt
    [J]. Journal of Data and Information Science., 2020, 5 (03) - 32
  • [38] Evaluation of Psychological and Educational Research Using the Bibliometric Databases Scopus and Google Scholar
    Tost, Caroline Maria
    Rindermann, Heiner
    [J]. ZEITSCHRIFT FUR EVALUATION, 2016, 15 (02): : 241 - 267
  • [39] Using Google Scholar institutional level data to evaluate the quality of university research
    Mingers, John
    O'Hanley, Jesse R.
    Okunola, Musbaudeen
    [J]. SCIENTOMETRICS, 2017, 113 (03) : 1627 - 1643
  • [40] Characterization and Quantification of Betasatellites Research from Google Scholar Using a Bibliometric Approach
    Ahmad, Syed Ishfaq
    Nasar, Zeeshan
    Ullah, Zaib
    Akhtar, Naeem
    Akbae, Fazal
    Ahmad, Nisar
    [J]. ADVANCEMENTS IN LIFE SCIENCES, 2021, 8 (04): : 360 - 367