Objective: To conduct a comprehensive bibliometric analysis of the top 100 most cited papers in aesthetic plastic surgery.
Methods: The analysis utilized VOSviewer, bibliometrix and biblioshiny packages in R. A keyword analysis was performed on all publications. Annual publication trends, mean total citations per article (MeanTCperArt), mean citation rate per year (MeanTCperYear), authors, institutions and countries contributions were examined.
Results: From 1976 to October 2024, a total of 5460 papers (5010 articles and 450 reviews) were published in the journal, reflecting a modest annual growth rate of 1.79%. Among these, the top 100 most cited papers averaged 159.7 citations per article. These highly cited works had an average document age of 22.7 years, emphasizing their long-lasting impact. Authorship analysis revealed contributions from 327 authors, with notable contributors such as Spear SL and Farkas LG, each authoring three of the top 100 papers. The Second University of Naples emerged as a leading institution with 13 contributions, while the USA stood out as the most prolific country, publishing 29 papers in this dataset. Citation trends demonstrated variability across decades. From 1981 to 1989, citation averages per article ranged between 92 and 165, with mean citation rates per year (MeanTCperYear) from 2.09 to 4.32. Publications from 2015 achieved a MeanTCperYear of 16.80, while 2018 papers recorded annual citation rate of 30.0.
Conclusion: The analysis of research themes within the top 100 cited papers revealed influential topics and trends that have shaped the literature in aesthetic plastic surgery. These findings highlight the journal's critical role in advancing the field.
No Level Assigned: This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
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http://dx.doi.org/10.1007/s00266-024-04656-0 | DOI Listing |
Adv Sci (Weinh)
January 2025
DP Technology, Beijing, 100080, China.
Powder X-ray diffraction (PXRD) is a prevalent technique in materials characterization. While the analysis of PXRD often requires extensive human manual intervention, and most automated method only achieved at coarse-grained level. The more difficult and important task of fine-grained crystal structure prediction from PXRD remains unaddressed.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
College of Physics Science & Technology, School of Life Sciences, Institute of Life Science and Green Development, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China.
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Spiking Neural Networks (SNNs) are at the forefront of computational neuroscience, emulating the nuanced dynamics of biological systems. In the realm of SNN training methods, the conversion from ANNs to SNNs has generated significant interest due to its potential for creating energy-efficient and biologically plausible models. However, existing conversion methods often require long time-steps to ensure that the converted SNNs achieve performance comparable to the original ANNs.
View Article and Find Full Text PDFBioorg Chem
December 2024
Good Clinical Practice Development, Guangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. Electronic address:
Inhibition of human concentrative nucleoside transporter 2 (CNT2) could suppress increases in serum urate levels derived from dietary purines. However, the structural basis for substrate recognition of CNT2 is still unknown and only a few inhibitors have been reported. In this study, a homology model of CNT2 was constructed and residues T315, E316, N426, N491, E492, F536 and N538 were identified as binding sites for adenosine through site-directed mutagenesis and a H-adenosine uptake assay.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Importance: Disparities in cognition, including dementia occurrence, persist between non-Hispanic Black (hereinafter, Black) and non-Hispanic White (hereinafter, White) older adults, and are possibly influenced by early educational differences stemming from structural racism. However, the association between school racial segregation and later-life cognition remains underexplored.
Objective: To investigate the association between childhood contextual exposure to school racial segregation and cognitive outcomes in later life.
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