Related Experiment Video
Updated: Jun 4, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Authorship transparency and equity in otolaryngology and maxillofacial surgery: current practices and the potential
Andrea Frosolini1, Simone Benedetti2, Paolo Gennaro2
1Maxillofacial Surgery Unit, Department of Medical Biotechnologies, University of Siena, Siena, Italy. andreafrosolini@gmail.com.
Purpose:
The determination of authorship order in scientific publications is critical for researcher recognition and career progression. According to a recent survey's meta-analysis, the prevalence of Honorary Authorship reaches 20% of authors. This study evaluates the adoption and proficency of authorship guidelines in maxillofacial surgery and otolaryngology.
Methods:
On March 16, 2024, a search of Scopus-indexed journals identified relevant journals in from which recent articles were sampled using a stratified random method. The author contribution alignment with actual authorship was evaluated through CalculAuthor tool and a detailed process involving large language models (LLM) and manual checks, employing statistical tests to evaluate the adoption of author contribution guidelines and agreement scores across different fields and journal quartiles.
Results:
A review of 21 Scopus-indexed journals revealed that 8 adhered to the CRediT system, 7 to other systems, and 6 had no guidelines. From 147 randomly selected manuscripts, 57 reported contributions (38.8%). The mean agreement score was 65.3% (SD = 26.8), without significant differences in journal quartiles or disciplines.
Conclusions:
This study highlights the moderate to low adoption of standardized contribution systems in maxillofacial and otolaryngology journals, with a fair level of agreement between reported contributions and actual authorship. Future research should focus on larger, more diverse samples and develop prospective implementations to ensure accurate and equitable authorship credit in the context of the Artificial Intelligence's scientific writing era.
Related Concept Videos
Genetic Lingo
Hearing
Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
Communication
The Cochlea
Hair Cells

