Altmetrics-based sleeping beauties: necessity or just a supplement?

Hou, Jianhua; Li, Hao; Zhang, Yang

doi:10.1007/s11192-023-04798-z

Scientometrics

2023

DOI: 10.1007/s11192-023-04798-z

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Altmetrics-based sleeping beauties: necessity or just a supplement?

Jianhua Hou,

Hao Li,

Yang Zhang

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2024

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An Early Evaluation of the Long-Term Influence of Academic Papers Based on Machine Learning Algorithms

Qiu,

Han

2024

IEEE Access

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Evaluating the long-term influence of academic papers in the early stage after publication is crucial for research management and decision-making. Although the total number of citations has been considered as a valid indicator to measure the academic influence of papers, there are still some bottleneck problems in predicting future citation counts. Firstly, it remains a challenging task to select the reasonable features due to the diversity of model features. Secondly, some prediction models are overly complex and their defects may cause prediction bias or even errors. Finally, the most important thing is that very few models possess long-term predictive ability. This paper proposes a prediction model that can provide an early evaluation of the long-term citations, or the long-term influence, of academic papers. The model uses features available immediately after publication or after a certain period of time. Taking academic papers in Information Science and Library Science as our experimental subject, we train the model using three machine learning algorithms and find that the artificial neural network performs satisfactorily. Our findings may offer guidance for research management and decision-making.

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An Early Evaluation of the Long-Term Influence of Academic Papers Based on Machine Learning Algorithms

Qiu,

Han

2024

IEEE Access

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Altmetrics-based sleeping beauties: necessity or just a supplement?

Cited by 1 publication

References 73 publications

An Early Evaluation of the Long-Term Influence of Academic Papers Based on Machine Learning Algorithms

An Early Evaluation of the Long-Term Influence of Academic Papers Based on Machine Learning Algorithms

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