IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v581y2020i7807d10.1038_d41586-020-01394-6.html
   My bibliography  Save this article

How swamped preprint servers are blocking bad coronavirus research

Author

Listed:
  • Diana Kwon

Abstract

Repositories are rapidly disseminating crucial pandemic science — and they’re screening more closely to guard against poor-quality work.

Suggested Citation

  • Diana Kwon, 2020. "How swamped preprint servers are blocking bad coronavirus research," Nature, Nature, vol. 581(7807), pages 130-131, May.
    • Handle: RePEc:nat:nature:v:581:y:2020:i:7807:d:10.1038_d41586-020-01394-6
    DOI: 10.1038/d41586-020-01394-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/d41586-020-01394-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/d41586-020-01394-6?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.

    Citations

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


    Cited by:

    1. Ivan Kodvanj & Jan Homolak & Davor Virag & Vladimir Trkulja, 2022. "Publishing of COVID-19 preprints in peer-reviewed journals, preprinting trends, public discussion and quality issues," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1339-1352, March.
    2. Quan-Hoang Vuong & Tam-Tri Le & Viet-Phuong La & Huyen Thanh Thanh Nguyen & Manh-Toan Ho & Quy Khuc & Minh-Hoang Nguyen, 2022. "Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    3. Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
    4. Uddin, Shahadat & Khan, Arif & Lu, Haohui, 2023. "Impact of COVID-19 on Journal Impact Factor," Journal of Informetrics, Elsevier, vol. 17(4).
    5. Annie Collins & Rohan Alexander, 2022. "Reproducibility of COVID-19 pre-prints," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4655-4673, August.
    6. Guillaume Cabanac & Theodora Oikonomidi & Isabelle Boutron, 2021. "Day-to-day discovery of preprint–publication links," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5285-5304, June.
    7. Shelly X Bian & Eugene Lin, 2020. "Competing with a pandemic: Trends in research design in a time of Covid-19," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-14, September.
    8. Nicole A. Errett & Marilyn Howarth & Kimberley Shoaf & Megan Couture & Steven Ramsey & Richard Rosselli & Sara Webb & April Bennett & Aubrey Miller, 2020. "Developing an Environmental Health Sciences COVID-19 Research Agenda: Results from the NIEHS Disaster Research Response (DR2) Work Group’s Modified Delphi Method," IJERPH, MDPI, vol. 17(18), pages 1-11, September.
    9. Guillaume Cabanac & Ingo Frommholz & Philipp Mayr, 2020. "Scholarly literature mining with information retrieval and natural language processing: Preface," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2835-2840, December.

    More about this item

    Keywords

    SARS-CoV-2; Publishing;

    Statistics

    Access and download statistics

    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:nat:nature:v:581:y:2020:i:7807:d:10.1038_d41586-020-01394-6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.nature.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.