Language and socioeconomics predict geographic variation in peer review outcomes at an ecology journal
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DOI: 10.1007/s11192-017-2517-5
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Cited by:
- 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.
- 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.
- 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.
- 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
Statistics
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