IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i7d10.1007_s11192-020-03836-4.html
   My bibliography  Save this article

The open access usage advantage: a temporal and spatial analysis

Author

Listed:
  • Guangyao Zhang

    (Dalian University of Technology)

  • Yuqi Wang

    (Dalian University of Technology)

  • Weixi Xie

    (Dalian University of Technology)

  • Han Du

    (Dalian University of Technology)

  • Chunlin Jiang

    (Dalian University of Technology)

  • Xianwen Wang

    (Dalian University of Technology)

Abstract

In this study, we compare the article impact in terms of article usage between open access (OA) and non-open access (Non-OA) articles from both the temporal and spatial perspectives. Articles published in The New England Journal of Medicine (NEJM) were selected as our research objects. Daily article metric data have been tracked and collected from nejm.org and updated every day for over a year. The results of the study confirm the OA usage advantage to a certain extent. OA increases the article views, expands the geographical scope of article readers, and promotes knowledge diffusion. However, the delayed OA policy has no obvious improvement on the OA effects.

Suggested Citation

  • Guangyao Zhang & Yuqi Wang & Weixi Xie & Han Du & Chunlin Jiang & Xianwen Wang, 2021. "The open access usage advantage: a temporal and spatial analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6187-6199, July.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-020-03836-4
    DOI: 10.1007/s11192-020-03836-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-020-03836-4
    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/s11192-020-03836-4?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. Wang, Xianwen & Xu, Shenmeng & Peng, Lian & Wang, Zhi & Wang, Chuanli & Zhang, Chunbo & Wang, Xianbing, 2012. "Exploring scientists’ working timetable: Do scientists often work overtime?," Journal of Informetrics, Elsevier, vol. 6(4), pages 655-660.
    2. Xianwen Wang & Zhi Wang & Shenmeng Xu, 2013. "Tracing scientist’s research trends realtimely," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 717-729, May.
    3. Bornmann, Lutz & Leydesdorff, Loet & Walch-Solimena, Christiane & Ettl, Christoph, 2011. "Mapping excellence in the geography of science: An approach based on Scopus data," Journal of Informetrics, Elsevier, vol. 5(4), pages 537-546.
    4. Loet Leydesdorff & Olle Persson, 2010. "Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1622-1634, August.
    5. Mike Thelwall & Nabeil Maflahi, 2015. "Are scholarly articles disproportionately read in their own country? An analysis of mendeley readers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(6), pages 1124-1135, June.
    6. Gunther Eysenbach, 2006. "Citation Advantage of Open Access Articles," Working Papers id:626, eSocialSciences.
    7. Richard Van Noorden, 2010. "Cities: Building the best cities for science," Nature, Nature, vol. 467(7318), pages 906-908, October.
    8. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "Erratum to: The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1149-1149, June.
    9. Lutz Bornmann & Loet Leydesdorff, 2011. "Which cities produce more excellent papers than can be expected? A new mapping approach, using Google Maps, based on statistical significance testing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 1954-1962, October.
    10. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 555-564, May.
    11. Philip M. Davis & Leah R. Solla, 2003. "An IP‐level analysis of usage statistics for electronic journals in chemistry: Making inferences about user behavior," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(11), pages 1062-1068, September.
    12. MARK J. McCABE & CHRISTOPHER M. SNYDER, 2014. "Identifying The Effect Of Open Access On Citations Using A Panel Of Science Journals," Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1284-1300, October.
    13. Philip M. Davis & Jason S. Price, 2006. "eJournal interface can influence usage statistics: Implications for libraries, publishers, and Project COUNTER," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1243-1248, July.
    14. Frenken, Koen & Hardeman, Sjoerd & Hoekman, Jarno, 2009. "Spatial scientometrics: Towards a cumulative research program," Journal of Informetrics, Elsevier, vol. 3(3), pages 222-232.
    15. Michael Norris & Charles Oppenheim & Fytton Rowland, 2008. "The citation advantage of open‐access articles," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(12), pages 1963-1972, October.
    16. Erjia Yan & Kai Li, 2018. "Which domains do open†access journals do best in? A 5†year longitudinal study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(6), pages 844-856, June.
    17. Wang, Xianwen & Peng, Lian & Zhang, Chunbo & Xu, Shenmeng & Wang, Zhi & Wang, Chuanli & Wang, Xianbing, 2013. "Exploring scientists’ working timetable: A global survey," Journal of Informetrics, Elsevier, vol. 7(3), pages 665-675.
    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. Liwei Zhang & Liang Ma, 2023. "Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2803-2818, May.
    2. Chompunuch Saravudecha & Duangruthai Na Thungfai & Chananthida Phasom & Sodsri Gunta-in & Aorrakanya Metha & Peangkobfah Punyaphet & Tippawan Sookruay & Wannachai Sakuludomkan & Nut Koonrungsesomboon, 2023. "Hybrid Gold Open Access Citation Advantage in Clinical Medicine: Analysis of Hybrid Journals in the Web of Science," Publications, MDPI, vol. 11(2), pages 1-9, March.
    3. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    4. Yu Geng & Renmeng Cao & Xiaopu Han & Wencan Tian & Guangyao Zhang & Xianwen Wang, 2022. "Scientists are working overtime: when do scientists download scientific papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6413-6429, 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. 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. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
    3. 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.
    4. 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.
    5. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    6. Bornmann, Lutz & Leydesdorff, Loet, 2012. "Which are the best performing regions in information science in terms of highly cited papers? Some improvements of our previous mapping approaches," Journal of Informetrics, Elsevier, vol. 6(2), pages 336-345.
    7. Paul Kudlow & Devin Bissky Dziadyk & Alan Rutledge & Aviv Shachak & Gunther Eysenbach, 2020. "The citation advantage of promoted articles in a cross‐publisher distribution platform: A 12‐month randomized controlled trial," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1257-1274, October.
    8. 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.
    9. Wen-Yau Cathy Lin, 2021. "Effects of open access and articles-in-press mechanisms on publishing lag and first-citation speed: a case on energy and fuels journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4841-4869, June.
    10. Loet Leydesdorff & Lutz Bornmann, 2012. "Mapping (USPTO) patent data using overlays to Google Maps," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1442-1458, July.
    11. Xianwen Wang & Wenli Mao & Shenmeng Xu & Chunbo Zhang, 2014. "Usage history of scientific literature: Nature metrics and metrics of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1923-1933, March.
    12. Liwei Zhang & Liang Ma, 2023. "Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2803-2818, May.
    13. Fernanda Morillo, 2020. "Is open access publication useful for all research fields? Presence of funding, collaboration and impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 689-716, October.
    14. Bornmann, Lutz & Stefaner, Moritz & de Moya Anegón, Felix & Mutz, Rüdiger, 2014. "What is the effect of country-specific characteristics on the research performance of scientific institutions? Using multi-level statistical models to rank and map universities and research-focused in," Journal of Informetrics, Elsevier, vol. 8(3), pages 581-593.
    15. Sara M. González-Betancor & Pablo Dorta-González, 2019. "Publication modalities ‘article in press’ and ‘open access’ in relation to journal average citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1209-1223, September.
    16. Xianwen Wang & Chen Liu & Wenli Mao & Zhichao Fang, 2015. "The open access advantage considering citation, article usage and social media attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 555-564, May.
    17. Mark J. McCabe & Christopher M. Snyder, 2021. "Cite unseen: Theory and evidence on the effect of open access on cites to academic articles across the quality spectrum," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(8), pages 1960-1979, December.
    18. Mingyang Wang & Jiaqi Zhang & Guangsheng Chen & Kah-Hin Chai, 2019. "Examining the influence of open access on journals’ citation obsolescence by modeling the actual citation process," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1621-1641, June.
    19. Siluo Yang & Xin Xing & Dietmar Wolfram, 2018. "Difference in the impact of open-access papers published by China and the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1017-1037, May.
    20. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.

    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:126:y:2021:i:7:d:10.1007_s11192-020-03836-4. 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.