概括
这项研究纠正了先前发表的一篇文章DOI. 校正确保准确的引用和参考,用于该领域的未来研究.
科学领域:
- 科学出版科学出版
- 学术传播学术交流
背景情况:
- 确保发表的科学文献的准确性至关重要.
- 正确的引用和引用是学术诚信的基础.
研究的目的:
- 为特定的产品提供纠正通知.
- 为了纠正文章数字物体标识符 (DOI) 中的错误.
主要方法:
- 发出了一份正式的纠正通知.
- 该通知确定了具体的物品及其DOI中的错误.
主要成果:
- 这篇文章的DOI已被更正为10.1371/journal.pone.0277493.
- 这种纠正有助于准确的检索和引用研究.
结论:
- 准确的元数据,如DOI,对于科学出版物的可发现性和完整性至关重要.
- 这次校正符合学术交流的标准.
更多相关视频
06:26Author Spotlight: Optimizing CFU Determination for Efficient Assessment of TB Vaccine Efficacy and Antigen Presentation Analysis
Published on: July 28, 2023
2.2K
06:34An Optimized Hemagglutination Inhibition HI Assay to Quantify Influenza-specific Antibody Titers
Published on: December 1, 2017
35.9K
相关概念视频
Vaccinations
44.3K
Overview
44.3K
Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
Social Proof
27.6K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.6K
What is an Experiment?
11.1K
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
11.1K
Bias in Epidemiological Studies
225
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
225
