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论文投稿发表中的陷阱。

Pitfalls in Article Submissions for Publication.

作者信息

Nair Brijesh

机构信息

Department of Dermatology, Military Hospital Jaipur, Jaipur Cantonment, Jaipur, Rajasthan, India.

出版信息

Indian Dermatol Online J. 2020 Nov 8;11(6):937-943. doi: 10.4103/idoj.IDOJ_658_20. eCollection 2020 Nov-Dec.

DOI:10.4103/idoj.IDOJ_658_20
PMID:33344343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7734996/
Abstract

The aim of every academician and clinical dermatologist is to publish their research in reputed biomedical journals. But from conceptualization to completion, myriad shortcomings creep into the article and by the time it is ready for publication, by default and certainly not by design, the article discourse gets flawed, sometime fatally so. The endeavor of this article is to discuss these pitfalls from conceptualization, statistical machinations, authorial misconcepts, article structuring, and final journal selection. The article can function as a prophylactic checklist, albeit not comprehensive, by any prospective author and is an appreciation of the most oft repeated fallacies usually detected in publication submissions.

摘要

每位院士和临床皮肤科医生的目标都是在著名的生物医学期刊上发表他们的研究成果。但从概念构思到完成,文章会出现无数缺点,到准备发表时,默认情况下(肯定不是有意为之),文章论述就会出现缺陷,有时甚至是致命的缺陷。本文旨在从概念构思、统计技巧、作者误解、文章结构和最终期刊选择等方面讨论这些陷阱。这篇文章可以作为一份预防性清单,尽管并不全面,供任何潜在作者参考,也是对投稿中最常出现的谬误的一种认识。

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本文引用的文献

1
Statistical methods and common problems in medical or biomedical science research.医学或生物医学科学研究中的统计方法及常见问题。
Int J Physiol Pathophysiol Pharmacol. 2017 Nov 1;9(5):157-163. eCollection 2017.
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The bridge between design and analysis.设计与分析之间的桥梁。
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Avoiding Common Data Analysis Pitfalls in Health Professions Education Research.
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Avoiding Common Writing Mistakes That Make Your Editors and Reviewers Cringe.避免那些会让编辑和审稿人皱眉的常见写作错误。
Int J Ther Massage Bodywork. 2015 Dec 7;8(4):1-3. doi: 10.3822/ijtmb.v8i4.310. eCollection 2015 Dec.
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Four Common Pitfalls of Quantitative Analysis in Experimental Research.
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Writing for publication in medical education in high impact journals.撰写文章以发表在高影响力期刊的医学教育板块。
Eur Rev Med Pharmacol Sci. 2014 Oct;18(19):2966-81.
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The new statistics: why and how.新的统计数据:原因和方法。
Psychol Sci. 2014 Jan;25(1):7-29. doi: 10.1177/0956797613504966. Epub 2013 Nov 12.
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Power failure: why small sample size undermines the reliability of neuroscience.停电:为什么小样本量会破坏神经科学的可靠性。
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Fifteen common mistakes encountered in clinical research.临床研究中常见的 15 个错误。
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