高度引用的生物医学研究人员的作者和引用模式:一个横截面研究
1Division of clinical epidemiology, Geneva University Hospitals, Geneva, 1211, Switzerland. thomas.perneger@hcuge.ch.
Research integrity and peer review
|September 4, 2023
概括
H指数倾向于中列作者,而Hm指数反映了平衡的作者模式,特别重视最后一位作者的贡献. 引用指标影响研究激励,需要仔细选择.
科学领域:
- 图书统计学 图书统计学
- 学术传播学术交流
- 研究评估研究评估
背景情况:
- 科学生产力通常通过引用指标 (如H指数) 来衡量.
- 在H指数中,所有共同作者都获得了同等的信用,这可能会激励中级作者.
- 在Hm-index分配分数信用,可能鼓励较小的团队和第一/最后的作者.
研究的目的:
- 调查H指数和Hm指数是否受到不同的作者模式的影响.
- 为了比较作者角色与这两种引用指标之间的关联.
主要方法:
- 对18231名健康科学研究人员 (1990-2019) 的Scopus数据的分析.
- 检查了单一,第一,中列和最后一个作者出版物之间的关联以及H-index/Hm-index.
- 调整为职业生涯持续时间和其他类型的文章.
主要成果:
- H指数与单一/第一作者文章有负相关性,但与中列/最后一位作者文章有正相关性.
- Hm指数显示了与所有作者类型的积极关联,与最后一位作者文章的关联最强.
- 作者模式显著影响引用指标值.
结论:
- H指数和Hm指数捕捉了学术生产力的不同方面.
- H指数与中间列表的作者关系,而Hm指数反映了更广泛的作者贡献.
- 仔细考虑引用指标是非常重要的,因为它们对研究实践的激励效应.
相关概念视频
Biostatistics: Overview
272
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
272
Pathophysiology of Cardiac Performance
702
Typical heart performance is influenced by heart rate, rhythm, myocardial contraction, and metabolism or blood flow. The cardiac muscle exhibits distinct electrophysiological features, including pacemaker activity and calcium channel control, which play a vital role in the heart's response to various drugs. The autonomic nervous system, comprising the sympathetic and parasympathetic branches, regulates heart rate. Sympathetic activation increases heart rate, while parasympathetic activation...
702
Biopharmaceutics and Pharmacokinetics: Overview
2.1K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
2.1K
Chi-square Analysis
38.3K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.3K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
147
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
147
The Scientific Method
227.4K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
227.4K


