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Related Concept Videos

Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
The Scientific Method01:32

The Scientific Method

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...
The Scientific Method03:50

The Scientific Method

Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion.
The Scientific Method02:40

The Scientific Method

Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.Positive Frequency-Dependent SelectionIn positive...

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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Editorial bias in scientific publications.

J Matías-Guiu, R García-Ramos

    Neurologia (Barcelona, Spain)
    |January 11, 2011
    PubMed
    Summary

    Editorial biases in scientific publications are prevalent, affecting manuscript acceptance and publication timing. Authors should carefully consider journal selection to ensure fair review of their research findings.

    Area of Science:

    • Bibliometrics
    • Scientific Publishing
    • Research Integrity

    Background:

    • Editorial biases significantly impact scientific publications, influencing manuscript acceptance and dissemination.
    • Publication bias favors positive results, while latent bias delays negative findings.
    • Factors such as author origin and institutional affiliation can introduce editorial bias.

    Discussion:

    • This paper analyzes editorial biases in the publication of funded clinical trials.
    • Investigates the influence of geographical origin, academic center, cooperative group affiliation, and author's native language on editorial decisions.
    • Examines the prevalence of positive result bias and latent bias in scientific literature.

    Key Insights:

    • Editorial biases demonstrably exist within the scientific publishing landscape.

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  • Author and article characteristics, beyond scientific merit, can sway editorial judgment.
  • Understanding these biases is crucial for maintaining research integrity.

    • Outlook:

    • Authors must strategically select journals to ensure equitable evaluation of their work.
    • Further research is needed to quantify the impact of specific biases.
    • Promoting transparency in editorial processes can mitigate bias in scientific communication.