A new approach to biochemistry: Bibliometric and altmetric analyses in the ketogenic diet

Busra Yusufoglu, Gokay Vardar, Gozde Kaya, Huseyin Yalcin
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Abstract

Recently, as doctors and researchers investigate into to the possible benefits of daily diets, ketogenic diets (KD) have started to gain popularity. As the growing up popularity of KD in social media, researchers had the chance to show their academic studies to the public more easily. Therefore, in this study, KD is discussed in terms of the recently popular “altmetric analysis” by scientists. The aim of study is to highlight the role of the ketogenic diet, figure out the mechanism of ketone bodies and the pivotal role of altmetric studies in health sciences. In order to investigate the novel aspects of the top 100 (T100) most cited scientific research paper in academia, 100 most discussed research paper was selected on social media platforms about KD from 1992 to 2019 and it was compared in terms of bibliometrics in web of science and in terms of social media impact in altmetric.com. While the total citations of the top 100 articles ranged from 143–109, altmetric values of T100 are 0–1269. According to the top social media platforms where the articles are mentioned, Twitter, Facebook, and Patent are the most popular social media platforms, respectively. It was not always coherent how altmetric data related to traditional bibliometric analysis. Thus, it might be suggested that bibliometric and altmetric assessments be viewed as complementary to one another. And by far the most important result of this study is that the articles with the highest citation may not receive much attention on social media due to their subject content.
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生物化学的新途径:生酮饮食中的文献计量学和替代计量学分析
最近,随着医生和研究人员对日常饮食可能带来的好处进行调查,生酮饮食(KD)开始受到欢迎。随着KD在社交媒体上的普及,研究人员更容易向公众展示自己的学术研究成果。因此,在本研究中,KD是由科学家根据最近流行的“替代分析”来讨论的。研究的目的是强调生酮饮食的作用,揭示酮体的机制和替代研究在健康科学中的关键作用。为了探讨学术界被引次数最多的100篇科研论文的新颖性,选取了1992年至2019年社交媒体平台上关于KD的100篇讨论次数最多的研究论文,并对其在web of science上的文献计量学和altmetric.com上的社交媒体影响力进行了比较。前100篇文章的总被引次数在143-109之间,T100的替代度量值为0-1269。从文章被提及的社交媒体平台来看,Twitter、Facebook和Patent分别是最受欢迎的社交媒体平台。另类计量数据与传统文献计量分析的关系并不总是连贯的。因此,可以建议将文献计量学评价和替代计量学评价视为相互补充。到目前为止,这项研究最重要的结果是,被引用次数最高的文章可能由于其主题内容而在社交媒体上受到的关注并不多。
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