bibliometrix: Bibliometric and Co-Citation Analysis Tool
, 2016 A tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from SCOPUS () and Thomson Reuters' ISI Web of Knowledge () databases, performing bibliometric analysis and building data ...
Cuccurullo, C., ARIA, MASSIMO
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Factors associated with relapse course and disability in myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD) remain incompletely understood. Objectives To identify clinical and modifiable factors associated with relapse and disability in MOGAD. Methods In this ambispective multicentre cohort study using data from
Yingtao Wang +23 more
wiley +1 more source
Emerging Concepts in Immuno-Oncology: Insights from Natural Language Processing-Driven Co-Occurrence Analysis. [PDF]
ACS OmegaIyer KA, Tenchov R, Ivanov JM, Zhou QA.
europepmc +1 more source
Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis. [PDF]
Scientometrics, 2018 Bornmann L, Haunschild R, Hug SE.
europepmc +1 more source
Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source
Cross-modal co-occurrence analysis of nonverbal behavior and content words, vocal emotion and prosody in individuals with subclinical depression. [PDF]
BMC PsycholWang L, Wu F, Zhang H, Lin D.
europepmc +1 more source
Co-occurrence Analysis of Microbial Taxa in the Atlantic Ocean Reveals High Connectivity in the Free-Living Bacterioplankton. [PDF]
Front Microbiol, 2016 Milici M +13 more
europepmc +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning. [PDF]
Diagnostics (Basel)Radulescu D +11 more
europepmc +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source