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논문 기본 정보

자료유형
학술저널
저자정보
Gupta Latika (Sanjay Gandhi Postgraduate Institute of Medical Sciences) Gasparyan Armen Yuri (Russells Hall Hospital) Misra Durga Prasanna (Sanjay Gandhi Postgraduate Institute of Medical Sciences) Agarwal Vikas (Sanjay Gandhi Postgraduate Institute of Medical Sciences) Zimba Olena (Danylo Halytsky Lviv National Medical University) Yessirkepov Marlen (South Kazakhstan Medical Academy)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.35 No.27
발행연도
2020.1
수록면
1 - 11 (11page)

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초록· 키워드

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Background: The coronavirus disease 2019 (COVID-19) pandemic has led to a large volume of publications, a barrage of non-reviewed preprints on various professional repositories and a slew of retractions in a short amount of time. Methods: We conducted an e-survey using a cloud-based website to gauge the potential sources of trustworthy information and misinformation and analyzed researchers', clinicians', and academics' attitude toward unpublished items, and pre- and post-publication quality checks in this challenging time. Results: Among 128 respondents (mean age, 43.2 years; M:F, 1.1:1), 60 (46.9%) were scholarly journal editors and editorial board members. Social media channels were distinguished as the most important sources of information as well as misinformation (81 [63.3%] and 86 [67.2%]). Nearly two in five (62, 48.4%) respondents blamed reviewers, editors, and misinterpretation by readers as additional contributors alongside authors for misinformation. A higher risk of plagiarism was perceived by the majority (70, 58.6%), especially plagiarism of ideas (64.1%) followed by inappropriate paraphrasing (54.7%). Opinion was divided on the utility of preprints for changing practice and changing retraction rates during the pandemic period, and higher rejections were not supported by most (76.6%) while the importance of peer review was agreed upon by a majority (80, 62.5%). More stringent screening by journal editors (61.7%), and facilitating open access plagiarism software (59.4%), including Artificial Intelligence (AI)-based algorithms (43.8%) were among the suggested solutions. Most (74.2%) supported the need to launch a specialist bibliographic database for COVID-19, with information indexed (62.3%), available as open-access (82.8%), after expanding search terms (52.3%) and following due verification by academics (66.4%), and journal editors (52.3%). Conclusion: While identifying social media as a potential source of misinformation on COVID-19, and a perceived high risk of plagiarism, more stringent peer review and skilled post-publication promotion are advisable. Journal editors should play a more active role in streamlining publication and promotion of trustworthy information on COVID-19.
#Coronavirus Disease 2019 #COVID-19 #Information #Publishing #Social Media #Periodicals as Topic

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참고문헌 (25)

참고문헌 신청
Armen Yuri Gasparyan / 2020 / Perspectives of Immune Therapy in Coronavirus Disease 2019 / Journal of Korean Medical Science 35(18):1~9 dbpia Fleming N / Coronavirus misinformation, and how scientists can help to fight it google schola Gupta L / 2020 / Management of rheumatic diseases in the time of COVID-19 pandemic: perspectives of rheumatology practitioners from India / Ann Rheum Dis. Crossref Llewellyn S / 2020 / Covid-19: how to be careful with trust and expertise on social media / BMJ 368:m1160 google schola Goel A / 2020 / Social media in the times of COVID-19 / J Clin Rheumatol Crossref

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