AIMC Topic: Journal Impact Factor
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A retrospective analysis of medical student authorship in highest impact radiology journal publications.
Current problems in diagnostic radiology
Jan 27, 2025
OBJECTIVES: To assess medical student authorship in radiology research, focusing on the prevalence and impact of student articles, demographic trends, and potential barriers and opportunities for involvement.
Do Ophthalmology Journals Have AI Policies for Manuscript Writing?
American journal of ophthalmology
Nov 7, 2024
PURPOSE: To assess the prevalence of artificial intelligence (AI) usage policies in manuscript writing in PubMed-indexed ophthalmology journals and examine the relationship between the adoption of these policies and journal characteristics.
Rise of the Machines: The Prevalence and Disclosure of Artificial Intelligence-Generated Text in High-Impact Orthopaedic Journals.
The Journal of the American Academy of Orthopaedic Surgeons
Jun 27, 2024
INTRODUCTION: While most orthopaedic journals permit the use of artificial intelligence (AI) in article development, they require that AI not be listed as an author, that authors take full responsibility for its accuracy, and that AI use be disclosed...
Scientific text citation analysis using CNN features and ensemble learning model.
PloS one
May 28, 2024
Citation illustrates the link between citing and cited documents. Different aspects of achievements like the journal's impact factor, author's ranking, and peers' judgment are analyzed using citations. However, citations are given the same weight for...
Authorship gender among articles about artificial intelligence in breast imaging.
European journal of radiology
Mar 14, 2024
RATIONALE AND OBJECTIVES: The purpose of this study is to investigate the variance of women authors, specifically first and senior authorship among peer-reviewed artificial intelligence-related articles with a specific focus in breast imaging.
The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.
The Journal of surgical research
Feb 16, 2023
INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and inclusion. These movements have emphasized the need for inclusivity of all genders and races in all sectors including surgical editorial boards. There ...
Learning on knowledge graph dynamics provides an early warning of impactful research.
Nature biotechnology
May 17, 2021
The scientific ecosystem relies on citation-based metrics that provide only imperfect, inconsistent and easily manipulated measures of research quality. Here we describe DELPHI (Dynamic Early-warning by Learning to Predict High Impact), a framework t...
Inconsistency in the use of the term "validation" in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging.
PloS one
Sep 11, 2020
BACKGROUND: The development of deep learning (DL) algorithms is a three-step process-training, tuning, and testing. Studies are inconsistent in the use of the term "validation", with some using it to refer to tuning and others testing, which hinders ...
Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.
Academic radiology
Sep 28, 2016
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article fe...
Comment on "What predicts citation counts and translational impact in headache research? A machine learning analysis".
Cephalalgia : an international journal of headache
Aug 1, 2024
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