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Language and socioeconomics predict geographic variation in peer review outcomes at an ecology journal

Author

Listed:
  • C. Sean Burns

    (University of Kentucky)

  • Charles W. Fox

    (University of Kentucky)

Abstract

Papers submitted by scientists located in western nations generally fare better in the peer review process than do papers submitted by scientists from elsewhere. This paper examines geographic variation in peer review outcomes (whether a manuscript is sent for review, review scores obtained, and final decisions by editors) for 3529 submissions over a 4.5 year period at the journal Functional Ecology. In particular, we test whether geographic variation in language and socioeconomics are adequate to explain most or are all of this variation. There was no relationship between the geographic regions of handling editors and the decisions to send papers for review or invite revision, but there was substantial variation among author geographic locations; generally papers from first authors located in Oceania, the United States, and the United Kingdom fared better, and papers from first authors located in Africa, Asia, and Latin America fared worst. Language and the Human Development Index (HDI) explained the geographic variation in the proportion of papers sent for review, but socioeconomics alone (HDI) was the best predictor of mean review scores obtained by papers and whether authors were invited to submit a revision. Though we cannot exclude a role for editor and reviewer biases against authors based on their geographic location, variation in socioeconomics and language explain much of the variation in manuscript editorial and peer review outcomes among authors from different regions of the world.

Suggested Citation

  • C. Sean Burns & Charles W. Fox, 2017. "Language and socioeconomics predict geographic variation in peer review outcomes at an ecology journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1113-1127, November.
  • Handle: RePEc:spr:scient:v:113:y:2017:i:2:d:10.1007_s11192-017-2517-5
    DOI: 10.1007/s11192-017-2517-5
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    References listed on IDEAS

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    Cited by:

    1. Amnah Alluqmani & Lior Shamir, 2018. "Writing styles in different scientific disciplines: a data science approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1071-1085, May.
    2. C. Sean Burns & Md. Anwarul Islam, 2024. "A citation analysis examining geographical specificity in article titles," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4317-4328, July.
    3. Pengfei Jia & Weixi Xie & Guangyao Zhang & Xianwen Wang, 2023. "Do reviewers get their deserved acknowledgments from the authors of manuscripts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5687-5703, October.
    4. Marta Kowal & Piotr Sorokowski & Emanuel Kulczycki & Agnieszka Żelaźniewicz, 2022. "The impact of geographical bias when judging scientific studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 265-273, January.
    5. Balázs Győrffy & Andrea Magda Nagy & Péter Herman & Ádám Török, 2018. "Factors influencing the scientific performance of Momentum grant holders: an evaluation of the first 117 research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 409-426, October.

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    More about this item

    Keywords

    Peer review; Language bias; Geographic bias; Socioeconomics; Human development index;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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