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Evaluation of the informatician perspective: determining types of research papers preferred by clinicians

机译:评估信息学家的观点:确定临床医生偏爱的研究论文类型

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Background To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging to locate these relevant resources out of the rapidly growing number of journals and articles currently being published. The literature-recommender system may provide a possible solution to this issue if the individual needs of clinicians can be identified and applied. Methods We thus collected from the CiteULike website a sample of 96 clinicians and 6,221 scientific articles that they read. We examined the journal distributions, publication types, reading times, and geographic locations. We then compared the distributions of MeSH terms associated with these articles with those of randomly sampled MEDLINE articles using two-sample Z-test and multiple comparison correction, in order to identify the important topics relevant to clinicians. Results We determined that the sampled clinicians followed the latest literature in a timely manner and read papers that are considered landmarks in medical research history. They preferred to read scientific discoveries from human experiments instead of molecular-, cellular- or animal-model-based experiments. Furthermore, the country of publication may impact reading preferences, particularly for clinicians from Egypt, India, Norway, Senegal, and South Africa. Conclusion These findings provide useful guidance for developing personalized literature-recommender systems for clinicians.
机译:背景技术为了提供循证医学,临床医生经常参考对他们各自的医学实践有用的资源。然而,由于日程安排繁忙,临床医生通常会发现从当前迅速增加的期刊和文章数量中找到这些相关资源具有挑战性。如果可以确定和应用临床医生的个人需求,那么文献推荐系统可以为该问题提供可能的解决方案。方法因此,我们从CiteULike网站收集了96名临床医生和他们阅读的6,221篇科学文章的样本。我们检查了期刊分布,出版物类型,阅读时间和地理位置。然后,我们使用两次抽样Z检验和多重比较校正,将与这些文章相关的MeSH术语的分布与随机抽样的MEDLINE文章的分布进行了比较,以确定与临床医生相关的重要主题。结果我们确定被抽样的临床医生应及时关注最新文献,并阅读被认为是医学研究历史上具有里程碑意义的论文。他们更喜欢阅读人类实验中的科学发现,而不是基于分子,细胞或动物模型的实验。此外,出版国可能会影响阅读偏好,尤其是对埃及,印度,挪威,塞内加尔和南非的临床医生而言。结论这些发现为为临床医生开发个性化的文献推荐系统提供了有用的指导。

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