Core Concepts
The author proposes a Bayesian approach to measure publication impact, addressing biases between fields and time normalization.
Abstract
The content introduces a Bayesian approach to measuring the impact of publications, focusing on field and time normalization. The proposed Bayesian Impact Score is discussed in detail, highlighting its characteristics and application across different subject categories. The paper emphasizes the importance of considering citation distributions over time and within specific fields to accurately assess publication impact.
The study explores the challenges in bibliometrics related to comparing publication impacts across diverse disciplines. It discusses the limitations of traditional methods that divide citations by years since publication and introduces a novel Bayesian approach to address these issues. By utilizing empirical data on citation distributions, the authors propose a method that normalizes citations based on field-specific expectations, leading to a more accurate assessment of publication impact.
The research delves into the concept of literature obsolescence and its impact on citation patterns over time. It highlights the need for a more nuanced approach to measuring publication impact that considers both the number of citations received and the age of the publication. The Bayesian Impact Score is presented as a solution that adjusts for these factors, providing a comprehensive evaluation of scholarly influence.
Overall, the content provides valuable insights into improving existing methods for measuring publication impact through a field- and time-normalized Bayesian approach. By introducing the Bayesian Impact Score, the study offers a new perspective on evaluating scholarly contributions across different subject categories.
Stats
"In all cases, it is apparent that the negative binomial distribution outperforms the Poisson distribution for the datasets considered."
"The Pearson linear correlation coefficient between the FCR and the Bayesian Score is 0.68."