Types, limitations, and possible alternatives of peer review based on the literature and surgeons’ opinions via twitter: A narrative review

Emile, Sameh Hany and Hamid, Hytham K. S. and Atici, Semra Demirli and Kosker, Doga Nur and Papa, Mario Virgilio and Elfeki, Hossam and Tan, Chee Yang and El-Hussuna, Alaa and Wexner, Steven D. (2022) Types, limitations, and possible alternatives of peer review based on the literature and surgeons’ opinions via twitter: A narrative review. Science Editing, 9 (1). 3 -14. ISSN 2288-7474, DOI https://doi.org/10.6087/kcse.257.

Full text not available from this repository.

Abstract

This review aimed to illustrate the types, limitations, and possible alternatives of peer review (PR) based on a literature review together with the opinions of a social media audience via Twitter. This study was conducted via the #OpenSourceResearch collaborative platform and combined a comprehensive literature search on the current PR system with the opinions of a social media audience of surgeons who are actively engaged in the current PR system. Six independent researchers conducted a literature search of electronic databases in addition to Google Scholar. Electronic polls were organized via Twitter to assess surgeons’ opinions on the current PR system and potential alternative approaches. PR can be classified into single-blind, double-blind, triple-blind, and open PR. Newer PR systems include interactive platforms, prepublication and postpublication commenting or review, transparent review, and collaborative review. The main limitations of the current PR system are its allegedly time-consuming nature and inconsistent, biased, and non-transparent results. Suggestions to improve the PR process include employing an interactive, double-blind PR system, using artificial intelligence to recruit reviewers, providing incentives for reviewers, and using PR templates. The above results offer several concepts for possible alternative approaches and modifications to this critically important process. © 2022 Korean Council of Science Editors

Item Type: Article
Funders: None
Uncontrolled Keywords: Altruism; Artificial intelligence; Peer review; Research personnel; Social media
Subjects: P Language and Literature > P Philology. Linguistics > Communication. Mass media
Divisions: Faculty of Medicine
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 17 Nov 2023 02:54
Last Modified: 17 Nov 2023 02:54
URI: http://eprints.um.edu.my/id/eprint/43308

Actions (login required)

View Item View Item