IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v82y2010i3d10.1007_s11192-010-0171-2.html
   My bibliography  Save this article

The journal download immediacy index (DII): experiences using a Chinese full-text database

Author

Listed:
  • Jin-kun Wan

    (Library of Tsinghua University
    China Scientometrics and Bibliometrics Research Center, Tsinghua University)

  • Ping-huan Hua

    (Library of Tsinghua University
    China Scientometrics and Bibliometrics Research Center, Tsinghua University)

  • Ronald Rousseau

    (KHBO (Association K.U.Leuven), Industrial Sciences and Technology
    K.U.Leuven)

  • Xiu-kun Sun

    (China Scientometrics and Bibliometrics Research Center, Tsinghua University)

Abstract

Relationships between the journal download immediacy index (DII) and some citation indicators are studied. The Chinese full-text database CNKI is used for data collection. Results suggest that the DII can be considered as an independent indicator, but that it also has predictive value for other indicators, such as a journal’s h-index. In case a journal cannot yet have an impact factor—because its citation history within the database is too short—the DII can be used for a preliminary evaluation. The article provides results related to the CNKI database as a whole and additionally, some detailed information about agricultural and forestry journals.

Suggested Citation

  • Jin-kun Wan & Ping-huan Hua & Ronald Rousseau & Xiu-kun Sun, 2010. "The journal download immediacy index (DII): experiences using a Chinese full-text database," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 555-566, March.
    • Handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0171-2
    DOI: 10.1007/s11192-010-0171-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0171-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-010-0171-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johan Bollen & Herbert Van de Sompel, 2008. "Usage impact factor: The effects of sample characteristics on usage‐based impact metrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 136-149, January.
    2. Anthony F. J. Raan, 2006. "Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 491-502, June.
    3. Tim Brody & Stevan Harnad & Leslie Carr, 2006. "Earlier Web usage statistics as predictors of later citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1060-1072, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    2. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
    3. Yufeng Duan & Zequan Xiong, 2017. "Download patterns of journal papers and their influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1761-1775, September.
    4. Zhichao Fang & Rodrigo Costas, 2020. "Studying the accumulation velocity of altmetric data tracked by Altmetric.com," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1077-1101, May.
    5. Wolfgang Glänzel & Juan Gorraiz, 2015. "Usage metrics versus altmetrics: confusing terminology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2161-2164, March.
    6. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    7. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.
    8. Liwen Vaughan & Juan Tang & Rongbin Yang, 2017. "Investigating disciplinary differences in the relationships between citations and downloads," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1533-1545, June.
    9. Weibin Lin & Xianli Wu & Zhengwei Wang & Xiaoji Wan & Hailin Li, 2022. "Topic Network Analysis Based on Co-Occurrence Time Series Clustering," Mathematics, MDPI, vol. 10(16), pages 1-17, August.
    10. Juan Xie & Kaile Gong & Jiang Li & Qing Ke & Hyonchol Kang & Ying Cheng, 2019. "A probe into 66 factors which are possibly associated with the number of citations an article received," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1429-1454, June.
    11. Juan Gorraiz & Christian Gumpenberger & Christian Schlögl, 2014. "Usage versus citation behaviours in four subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1077-1095, November.
    12. Muhammad Salman Khan & Muhammad Younas, 2017. "Analyzing readers behavior in downloading articles from IEEE digital library: a study of two selected journals in the field of education," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1523-1537, March.
    13. Wood-Doughty, Alex & Bergstrom, Ted & Steigerwald, Douglas, 2017. "Do download reports reliably measure journal usage? Trusting the fox to count your Hens?," University of California at Santa Barbara, Economics Working Paper Series qt1f221007, Department of Economics, UC Santa Barbara.
    14. Khan, Abdullah & Rizvi, Syed Aun R. & Ali, Mohsin & Haroon, Omair, 2021. "A survey of Islamic finance research – Influences and influencers," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    15. Vicente P. Guerrero-Bote & Félix Moya-Anegón, 2014. "Relationship between downloads and citations at journal and paper levels, and the influence of language," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1043-1065, November.
    16. Chunli Wei & Jingyi Zhao & Jue Ni & Jiang Li, 2023. "What does open peer review bring to scientific articles? Evidence from PLoS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2763-2776, May.
    17. Haustein, Stefanie & Siebenlist, Tobias, 2011. "Applying social bookmarking data to evaluate journal usage," Journal of Informetrics, Elsevier, vol. 5(3), pages 446-457.
    18. Xianwen Wang & Zhichao Fang & Xiaoling Sun, 2016. "Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 917-926, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.
    2. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    3. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    4. Christian Schlögl & Juan Gorraiz & Christian Gumpenberger & Kris Jack & Peter Kraker, 2014. "Comparison of downloads, citations and readership data for two information systems journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1113-1128, November.
    5. Christian Schloegl & Juan Gorraiz, 2010. "Comparison of citation and usage indicators: the case of oncology journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 567-580, March.
    6. Liwen Vaughan & Juan Tang & Rongbin Yang, 2017. "Investigating disciplinary differences in the relationships between citations and downloads," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1533-1545, June.
    7. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    8. Wolfgang Glänzel & Juan Gorraiz, 2015. "Usage metrics versus altmetrics: confusing terminology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2161-2164, March.
    9. Rosenstreich, Daniela & Wooliscroft, Ben, 2009. "Measuring the impact of accounting journals using Google Scholar and the g-index," The British Accounting Review, Elsevier, vol. 41(4), pages 227-239.
    10. Juan Gorraiz & Christian Gumpenberger & Christian Schlögl, 2014. "Usage versus citation behaviours in four subject areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1077-1095, November.
    11. Wencan Tian & Yongzhen Wang & Zhigang Hu & Ruonan Cai & Guangyao Zhang & Xianwen Wang, 2024. "Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3285-3302, June.
    12. Frandsen, Tove Faber, 2009. "The effects of open access on un-published documents: A case study of economics working papers," Journal of Informetrics, Elsevier, vol. 3(2), pages 124-133.
    13. Vîiu, Gabriel-Alexandru, 2016. "A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation," Journal of Informetrics, Elsevier, vol. 10(2), pages 552-566.
    14. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    15. Waltman, L. & van Eck, N.J.P., 2009. "A Taxonomy of Bibliometric Performance Indicators Based on the Property of Consistency," ERIM Report Series Research in Management ERS-2009-014-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    17. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    18. Marco Giuliani & Stefano Marasca, 2015. "La valutazione della ricerca tramite indici bibliometrici: riflessioni da una prospettiva economico-aziendale," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2015(1), pages 133-151.
    19. Barbara McGillivray & Mathias Astell, 2019. "The relationship between usage and citations in an open access mega-journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 817-838, November.
    20. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:82:y:2010:i:3:d:10.1007_s11192-010-0171-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.