Academic and online attention to palliative care: A bibliometric and altmetric perspective

IF 0.3 Q3 MEDICINE, GENERAL & INTERNAL European Journal of Therapeutics Pub Date : 2023-08-28 DOI:10.58600/eurjther1761
Bahar Bektan Kanat
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Abstract

Objective: With a combined bibliometric and altmetric study, we aimed to provide a visually detailed perspective on palliative care, which is attracting increasing attention from academia and society. We also evaluated the relationship between supporting and contrasting citation counts and the altmetric attention score (AAS) for the first time in the literature. Methods: Web of Science (WoS) database and Altmetric.com website were used to create Top100 (T100) citation and altmetric lists. Supporting and contrasting citations were found using Scite.ai database. Articles in both lists, published between 1975-2021, were analyzed in terms of study type, topic, first author, publication year, citation count, AAS, scite score, supporting and contrasting citation counts. Impact factor (IF), quartile of journal and journal citation indicator (JCI) were also examined. Results: A search of "Palliative care" in WoS yielded a total of 50.674 articles. A significant correlation was found between AAS and citation counts (p=0.001, r=0.328) in T100 citation list, and AAS and contrasting citations in T100 altmetric list (p=0,024, r=0,225). There was no statistically significant difference between IF, JCI and Q categories in both lists. Topic "PC for non-oncological diseases" were at the top of both lists. The USA, UK and Canada were countries with the most articles in T100 citation list. Conclusions: Palliative care articles that attract the attention of the academia also resonate on social media. Since AAS can be manipulated, it would be beneficial to use altmetric analysis in combination with bibliometric analysis rather than alone to formulate new policies on palliative care.
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学术和在线对姑息治疗的关注:文献计量学和替代计量学的视角
目的:通过文献计量学和替代计量学相结合的研究,我们旨在提供一个视觉上详细的姑息治疗视角,这越来越受到学术界和社会的关注。我们还首次在文献中评估了支持引用数和对比引用数与替代注意评分(AAS)之间的关系。方法:利用Web of Science (WoS)数据库和Altmetric.com网站建立Top100 (T100)引文和altmetric榜单。使用Scite找到支持和对比的引用。人工智能数据库。这两个列表中发表于1975-2021年间的文章,从研究类型、主题、第一作者、出版年份、引文数量、AAS、引文得分、支持和对比引文数量等方面进行了分析。研究了影响因子(IF)、期刊四分位数和期刊引用指标(JCI)。结果:在WoS中检索“姑息治疗”,共检索到50.674篇。在T100引文表中,AAS与被引频次呈显著相关(p=0.001, r=0.328);在T100替代计量表中,AAS与对比被引频次呈显著相关(p= 0.024, r= 0.225)。两个表中IF、JCI、Q类之间差异无统计学意义。“非肿瘤性疾病的PC”这一主题在两个列表中都名列前茅。美国、英国和加拿大是T100被引用次数最多的国家。结论:引起学术界关注的姑息治疗文章在社交媒体上也会产生共鸣。由于原子吸收光谱是可以操纵的,因此将替代分析与文献计量分析相结合,而不是单独使用,将有利于制定新的姑息治疗政策。
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European Journal of Therapeutics
European Journal of Therapeutics MEDICINE, GENERAL & INTERNAL-
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