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The correlation between editorial delay and the ratio of highly cited papers in Nature, Science and Physical Review Letters

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  • Zhenquan Lin

    (Wenzhou University)

  • Shanci Hou

    (Wenzhou University)

  • Jinshan Wu

    (Beijing Normal University)

Abstract

Ideally, in a reviewing process, it is generally easier for referees to make faster and more reliable decisions for high quality papers, which ideally and on average will later attract more citations. Therefore, it is possible that the editorial delay time—the time between dates of submission and acceptance or publication—is correlated to the number of received citations, as has been weakly confirmed by previous studies. In this study, we propose a different measure for this correlation. Instead of directly calculating the correlation coefficient between the editorial delay and the number of citations, we define a ratio of above median highly cited papers and perform correlation analysis between editorial delay and that ratio for all academic papers published in Nature, Science and Physical Review Letters. Using this alternative measure, we find that on average papers with shorter editorial delay do have larger probabilities of becoming highly cited papers.

Suggested Citation

  • Zhenquan Lin & Shanci Hou & Jinshan Wu, 2016. "The correlation between editorial delay and the ratio of highly cited papers in Nature, Science and Physical Review Letters," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1457-1464, June.
  • Handle: RePEc:spr:scient:v:107:y:2016:i:3:d:10.1007_s11192-016-1936-z
    DOI: 10.1007/s11192-016-1936-z
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    References listed on IDEAS

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    1. Carlos B. Amat, 2008. "Editorial and publication delay of papers submitted to 14 selected Food Research journals. Influence of online posting," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 379-389, March.
    2. Si Shen & Ronald Rousseau & Dongbo Wang & Danhao Zhu & Huoyu Liu & Ruilun Liu, 2015. "Editorial delay and its relation to subsequent citations: the journals Nature, Science and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1867-1873, December.
    3. Alfredo Yegros Yegros & Carlos B. Amat, 2009. "Editorial delay of food research papers is influenced by authors’ experience but not by country of origin of the manuscripts," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 367-380, November.
    4. Shen, Zhesi & Yang, Liying & Pei, Jiansuo & Li, Menghui & Wu, Chensheng & Bao, Jianzhang & Wei, Tian & Di, Zengru & Rousseau, Ronald & Wu, Jinshan, 2016. "Interrelations among scientific fields and their relative influences revealed by an input–output analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 82-97.
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    Citations

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    Cited by:

    1. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    2. Besancenot, Damien & Huynh, Kim & Serranito, Francisco, 2017. "Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis," Economic Modelling, Elsevier, vol. 66(C), pages 61-80.
    3. Colavizza, Giovanni & Franceschet, Massimo, 2016. "Clustering citation histories in the Physical Review," Journal of Informetrics, Elsevier, vol. 10(4), pages 1037-1051.
    4. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    5. Narjes Vara & Mahdieh Mirzabeigi & Hajar Sotudeh & Seyed Mostafa Fakhrahmad, 2022. "Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3237-3252, June.
    6. Dalibor Fiala & Cecília Havrilová & Martin Dostal & Ján Paralič, 2016. "Editorial Board Membership, Time to Accept, and the Effect on the Citation Counts of Journal Articles," Publications, MDPI, vol. 4(3), pages 1-8, July.
    7. Zhentao Liang & Jin Mao & Gang Li, 2023. "Bias against scientific novelty: A prepublication perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 99-114, January.
    8. Jingda Ding & Dehui Du, 2023. "A study of the correlation between publication delays and measurement indicators of journal articles in the social network environment—based on online data in PLOS," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1711-1743, March.
    9. Geoffrey S. Shideler & Rafael J. Araújo, 2017. "Reviewer interest in a manuscript may predict its future citation potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1171-1176, November.
    10. Emre Sarigöl & David Garcia & Ingo Scholtes & Frank Schweitzer, 2017. "Quantifying the effect of editor–author relations on manuscript handling times," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 609-631, October.

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