Related Experiment Video
Updated: Jan 10, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Limitations of Academic Bibliometric Indices: The Need for More Comprehensive Metrics
Noah Alter1, Muhammad Daiem2, Matthew E Pontell
1From the Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN.
Abstract:
Bibliometric indices have long served as the foundation for assessing academic productivity and scholarly impact, influencing hiring decisions, tenure evaluations, grant allocations, and institutional rankings. However, traditional metrics such as the Journal Impact Factor and h-index exhibit fundamental limitations that fail to capture the complexity of academic contributions. These indices often prioritize citation counts, fail to account for variations in authorship contributions, and reinforce systemic disadvantages for early-career researchers. In response to these shortcomings, several alternative indices, including the m-quotient, g-index, Eigenfactor Score, and the Departmental Scholarly Index, have been proposed to refine research assessment. While these metrics introduce improvements, they remain constrained by a citation-based framework that disproportionately emphasizes publication volume over qualitative impact. A more comprehensive bibliometric model is needed-one that incorporates authorship position, field-normalized adjustments, and differentiates between research quality and sheer output.
More Related Videos
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
10:39Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
Published on: August 29, 2025
Related Concept Videos
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Microbial Growth Measurement: Indirect Methods
Kaplan-Meier Approach
Measurement of Bioavailability: Pharmacodynamic Methods
Introduction to Nonparametric Statistics
One of...
Multiple Bar Graph
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...