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How many preprints have actually been printed and why: a case study of computer science preprints on arXiv

Author

Listed:
  • Jialiang Lin

    (Xiamen University)

  • Yao Yu

    (Xiamen University)

  • Yu Zhou

    (Xiamen University)

  • Zhiyang Zhou

    (Xiamen University)

  • Xiaodong Shi

    (Xiamen University)

Abstract

Preprints play an increasingly critical role in academic communities. There are many reasons driving researchers to post their manuscripts to preprint servers before formal submission to journals or conferences, but the use of preprints has also sparked considerable controversy, especially surrounding the claim of priority. In this paper, a case study of computer science preprints submitted to arXiv from 2008 to 2017 is conducted to quantify how many preprints have eventually been printed in peer-reviewed venues. Among those published manuscripts, some are published under different titles and without an update to their preprints on arXiv. In the case of these manuscripts, the traditional fuzzy matching method is incapable of mapping the preprint to the final published version. In view of this issue, we introduce a semantics-based mapping method with the employment of Bidirectional Encoder Representations from Transformers (BERT). With this new mapping method and a plurality of data sources, we find that 66% of all sampled preprints are published under unchanged titles and 11% are published under different titles and with other modifications. A further analysis was then performed to investigate why these preprints but not others were accepted for publication. Our comparison reveals that in the field of computer science, published preprints feature adequate revisions, multiple authorship, detailed abstract and introduction, extensive and authoritative references and available source code.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03430-8
    DOI: 10.1007/s11192-020-03430-8
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    1. Martin-Martin, Alberto & Orduna-Malea, Enrique & Harzing, Anne-Wil & Delgado López-Cózar, Emilio, 2017. "Can we use Google Scholar to identify highly-cited documents?," Journal of Informetrics, Elsevier, vol. 11(1), pages 152-163.
    2. Philip M. Davis & Michael J. Fromerth, 2007. "Does the arXiv lead to higher citations and reduced publisher downloads for mathematics articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 203-215, May.
    3. Björk, Bo-Christer & Solomon, David, 2013. "The publishing delay in scholarly peer-reviewed journals," Journal of Informetrics, Elsevier, vol. 7(4), pages 914-923.
    4. 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.
    5. George Vrettas & Mark Sanderson, 2015. "Conferences versus journals in computer science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2674-2684, December.
    6. Paul Ginsparg, 2011. "ArXiv at 20," Nature, Nature, vol. 476(7359), pages 145-147, August.
    7. Antonio Cavacini, 2015. "What is the best database for computer science journal articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2059-2071, March.
    8. 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.
    9. Kayvan Kousha & Mike Thelwall, 2008. "Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 273-294, February.
    10. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
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    Cited by:

    1. Peng, Wen & Yue, Mingliang & Sun, Mingyue & Ma, Tingcan, 2024. "Revision and academic impact: A case study of bioRxiv preprint papers," Journal of Informetrics, Elsevier, vol. 18(1).
    2. Jialiang Lin & Yao Yu & Jiaxin Song & Xiaodong Shi, 2022. "Detecting and analyzing missing citations to published scientific entities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2395-2412, May.
    3. Tang, Xuli & Li, Xin & Ding, Ying & Song, Min & Bu, Yi, 2020. "The pace of artificial intelligence innovations: Speed, talent, and trial-and-error," Journal of Informetrics, Elsevier, vol. 14(4).
    4. 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.
    5. Akbaritabar, Aliakbar & Stephen, Dimity & Squazzoni, Flaminio, 2022. "A study of referencing changes in preprint-publication pairs across multiple fields," Journal of Informetrics, Elsevier, vol. 16(2).

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