作者或编辑建议的同行评审者之间的评论质量和出版建议的差异
Sara Schroter1, Leanne Tite, Andrew Hutchings
1BMJ Editorial Office, BMA House, London, England. sschroter@bmj.com
JAMA
|January 19, 2006
概括
作者建议的评论员提供足够的手稿评论,与编辑选择的评论员相美. 然而,作者建议可能会导致更有利的出版建议,这需要编辑的谨慎.
科学领域:
- 医学出版物 医学出版物
- 同行评审是同行评审的过程.
背景情况:
- 期刊通常允许作者建议同行评审者.
- 作者建议的评论的质量和影响尚不清楚.
研究的目的:
- 为了比较作者建议的评论员与编辑建议的评论员的质量和出版建议.
- 评估评论员建议对编辑决策的影响.
主要方法:
- 一项观察性研究涉及10个生物医学期刊的329篇原创研究论文.
- 审查质量使用审查质量工具进行评估.
- 分析了推接受,修订或拒绝的审稿人的比例.
主要成果:
- 作者和编辑建议的评论员之间的评论质量没有显著差异.
- 作者建议的评论员更有可能建议接受或修订.
- 编辑决定与作者建议的评论员偏好相一致,在建议不同的情况下,50.9%的情况.
结论:
- 作者建议的审稿人提供足够的审稿质量.
- 作者建议可能会带来偏见,导致更有利的出版建议.
- 编辑应该使用作者对评论质量的建议,但对他们的建议要谨慎.
更多相关视频
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
1.3K
05:07Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
Published on: November 7, 2025
560
相关概念视频
Self-Evaluation: Self-Enhancement and Self-Verification
4.7K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
4.7K
Protein Folding Quality Check in the RER
4.4K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
4.4K
Review and Preview
9.5K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.5K
Guidelines for Writing Outcome
3.8K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.8K
Review and Preview
5.9K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
5.9K
Detection of Gross Error: The Q Test
7.1K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.1K
