Analysis of the association between Altmetric scores and the gender of first and last authors of articles published in top cardiovascular research journals shows that women receive on average less attention for their work.
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http://dx.doi.org/10.1038/s42003-023-05058-9 | DOI Listing |
J Acquir Immune Defic Syndr
January 2025
Division of HIV Prevention, Centers for Disease Control and Prevention, Atlanta, GA, US at the time this research was undertaken. Current affiliation: Manhattan Associates, Atlanta GA.
Background: In 2019, there were an estimated 1.2 million persons with HIV (PWH) and 35,100 new infections in the United States. The HIV care continuum has a large influence on transmission dynamics.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
January 2025
Center of Research, Studies in Physical Education, Sport and Health-CRSPES, 10000 Pristina, Kosovo.
Objectives: The main purpose of this study is to identify the relative effect of age (RAE) according to norm values on the anthropometric performance and physical fitness of children between the ages of 9 and 11 years. The data, namely the percentiles of anthropometric parameters and physical fitness, are relevant for identifying the RAE in relation to gender and the month of birth in children.
Methods: For the sample in this study, 1185 young people from Kosovo were enrolled, including 626 males and 559 females aged 9-11 years.
NeuroSci
January 2025
Department of Medicine, Creighton University, Omaha, NE 68178, USA.
Background: Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the degradation of dopaminergic pathways in the brain. As the population in the United States continues to age, it is essential to understand the trends in mortality related to PD. This analysis of PD's mortality characterizes temporal shifts, examines demographic and regional differences, and provides machine-learning predictions.
View Article and Find Full Text PDFHealth Promot Pract
January 2025
Transcend the Binary, Ferndale, MI, USA.
The U.S. trans/gender diverse (TGD) community experiences considerable mental health disparities and barriers to health care.
View Article and Find Full Text PDFProceedings (IEEE Int Conf Bioinformatics Biomed)
December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Lung cancer remains a predominant cause of cancer-related deaths, with notable disparities in incidence and outcomes across racial and gender groups. This study addresses these disparities by developing a computational framework leveraging explainable artificial intelligence (XAI) to identify both patient- and cohort-specific biomarker genes in lung cancer. Specifically, we focus on two lung cancer subtypes, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC), examining distinct racial and sex-specific cohorts: African American males (AAMs) and European American males (EAMs).
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