Bias, coronavirus, nationality, gender and neurology article citation count prediction with machine learning

Bacchi, S.; Teoh, S. C.; Lam, L.; Schultz, D.; Casson, R. J.; Chan, W.

Bacchi, S.; Teoh, S. C.; Lam, L.; Schultz, D.; Casson, R. J.; Chan, W..

Neurology Perspectives ; 3(1) (no pagination), 2023.

Article in English, Spanish | EMBASE | ID: covidwho-2250780

Keywords

article, author, citation analysis, Coronavirinae, correlation coefficient, data analysis, data extraction, human, information processing bias, logistic regression analysis, machine learning, multicenter study (topic), nationality, natural language processing, neurology, pandemic, prediction, predictive model, publication, randomized controlled trial (topic), receiver operating characteristic, scientific literature, sex difference, standardization, trend study, open source software

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English / Spanish Journal: Neurology Perspectives Year: 2023 Document Type: Article

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