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Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell

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  • Cătălin Emilian Boja

    (Bucharest University of Economic Studies)

  • Claudiu Herţeliu

    (Bucharest University of Economic Studies)

  • Marian Dârdală

    (Bucharest University of Economic Studies)

  • Bogdan Vasile Ileanu

    (Bucharest University of Economic Studies)

Abstract

The particular day of the week when an event occurs seems to have unexpected consequences. For example, the day of the week when a paper is submitted to a peer reviewed journal correlates with whether that paper is accepted. Using an econometric analysis (a mix of log–log and semi-log based on undated and panel structured data) we find that more papers are submitted to certain peer review journals on particular weekdays than others, with fewer papers being submitted on weekends. Seasonal effects, geographical information as well as potential changes over time are examined. This finding rests on a large (178,000) and reliable sample; the journals polled are broadly recognized (Nature, Cell, PLOS ONE and Physica A). Day of the week effect in the submission of accepted papers should be of interest to many researchers, editors and publishers, and perhaps also to managers and psychologists.

Suggested Citation

  • Cătălin Emilian Boja & Claudiu Herţeliu & Marian Dârdală & Bogdan Vasile Ileanu, 2018. "Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 887-918, November.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2911-7
    DOI: 10.1007/s11192-018-2911-7
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    2. Marcel Ausloos & Olgica Nedič & Aleksandar Dekanski, 2019. "Correlations between submission and acceptance of papers in peer review journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 279-302, April.
    3. Monica Mihaela Maer-Matei & Cristina Mocanu & Ana-Maria Zamfir & Tiberiu Marian Georgescu, 2019. "Skill Needs for Early Career Researchers—A Text Mining Approach," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
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