How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed
<|reference_start|>How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed: This paper explored the temporal characteristics of clinical citations of biomedical papers, including how long it takes to receive its first clinical citation (the initial stage) and how long it takes to receive two or more clinical citations after its first clinical citation (the build-up stage). Over 23 million biomedical papers in PubMed between 1940 and 2013 and their clinical citations are used as the research data. We divide these biomedical papers into three groups and four categories from clinical citation level and translational science perspectives. We compare the temporal characteristics of biomedical papers of different groups or categories. From the perspective of clinical citation level, the results show that highly clinically cited papers had obvious advantages of receiving clinical citations over medium and lowly clinically cited papers in both the initial and build-up stages. Meanwhile, as the number of clinical citations increased in the build-up stage, the difference in the length of time to receive the corresponding number of clinical citations among the three groups of biomedical papers significantly increased. From the perspective of translational science, the results reveal that biomedical papers closer to clinical science more easily receive clinical citations than papers closer to basic science in both the initial and build-up stages. Moreover, we found that highly clinically cited papers had the desperate advantage of receiving clinical citations over even the clinical guidelines or clinical trials. The robustness analysis of the two aspects demonstrates the reliability of our results.<|reference_end|>
@article{li2024how,
    title={How biomedical papers accumulated their clinical citations: A
  large-scale retrospective analysis based on PubMed},
    author={Xin Li, Xuli Tang, Wei Lu},
    journal={arXiv preprint arXiv:2404.01072},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.01072},
    primaryClass={cs.DL}
}