IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v65y2014i6p1157-1169.html
   My bibliography  Save this article

arXiv E-prints and the journal of record: An analysis of roles and relationships

Author

Listed:
  • Vincent Larivière
  • Cassidy R. Sugimoto
  • Benoit Macaluso
  • Staša Milojević
  • Blaise Cronin
  • Mike Thelwall

Abstract

No abstract is available for this item.

Suggested Citation

  • Vincent Larivière & Cassidy R. Sugimoto & Benoit Macaluso & Staša Milojević & Blaise Cronin & Mike Thelwall, 2014. "arXiv E-prints and the journal of record: An analysis of roles and relationships," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(6), pages 1157-1169, June.
    • Handle: RePEc:bla:jinfst:v:65:y:2014:i:6:p:1157-1169
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23044
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Matthew Cobb, 2017. "The prehistory of biology preprints: A forgotten experiment from the 1960s," PLOS Biology, Public Library of Science, vol. 15(11), pages 1-12, November.
    2. Sarvenaz Sarabipour & Humberto J Debat & Edward Emmott & Steven J Burgess & Benjamin Schwessinger & Zach Hensel, 2019. "On the value of preprints: An early career researcher perspective," PLOS Biology, Public Library of Science, vol. 17(2), pages 1-12, February.
    3. Piotr Śpiewanowski & Oleksandr Talavera, 2021. "Journal rankings and publication strategy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3227-3242, April.
    4. Jialiang Lin & Yao Yu & Yu Zhou & Zhiyang Zhou & Xiaodong Shi, 2020. "How many preprints have actually been printed and why: a case study of computer science preprints on arXiv," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 555-574, July.
    5. Pan, Xuelian & Yan, Erjia & Wang, Qianqian & Hua, Weina, 2015. "Assessing the impact of software on science: A bootstrapped learning of software entities in full-text papers," Journal of Informetrics, Elsevier, vol. 9(4), pages 860-871.
    6. Xiuwen Chen & Jianping Li & Xiaolei Sun & Dengsheng Wu, 2019. "Early identification of intellectual structure based on co-word analysis from research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 349-369, October.
    7. Liwei Zhang & Jue Wang, 2021. "What affects publications’ popularity on Twitter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9185-9198, November.
    8. Zhiqi Wang & Wolfgang Glänzel & Yue Chen, 2020. "The impact of preprints in Library and Information Science: an analysis of citations, usage and social attention indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1403-1423, November.
    9. Marc Bertin & Iana Atanassova, 2022. "Preprint citation practice in PLOS," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6895-6912, December.
    10. Wang, Zhiqi & Chen, Yue & Glänzel, Wolfgang, 2020. "Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics," Journal of Informetrics, Elsevier, vol. 14(4).
    11. Alexandra Baumann & Klaus Wohlrabe, 2020. "Where have all the working papers gone? Evidence from four major economics working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2433-2441, September.
    12. Rogério Mugnaini & Grischa Fraumann & Esteban F. Tuesta & Abel L. Packer, 2021. "Openness trends in Brazilian citation data: factors related to the use of DOIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2523-2556, March.
    13. Beibei Hu & Xianlei Dong & Chenwei Zhang & Timothy D. Bowman & Ying Ding & Staša Milojević & Chaoqun Ni & Erjia Yan & Vincent Larivière, 2015. "A lead-lag analysis of the topic evolution patterns for preprints and publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2643-2656, December.
    14. Citron, Daniel T. & Way, Samuel F., 2018. "Network assembly of scientific communities of varying size and specificity," Journal of Informetrics, Elsevier, vol. 12(1), pages 181-190.
    15. 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.

    More about this item

    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:bla:jinfst:v:65:y:2014:i:6:p:1157-1169. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.