Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Department of Neurology, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
Biomed Res Int. 2020 Jan 28;2020:1836471. doi: 10.1155/2020/1836471. eCollection 2020.
As the average life expectancy continues to increase, interest in cognitive impairment is increasing. Nowadays, as social media expands its reach, academic research is spreading through social media, changing the way and speed by which research is propagated and also who consumes this content. Therefore, using Altmetric, a new web-based set of metrics that analyzes the impact of content on social media platforms, we investigated the characteristics of influential research articles on the topic of cognitive impairment in social media.
An Altmetric Explorer search was performed on May 25, 2018, to extract the following information: (i) journal name, (ii) journal impact factor (IF), (iii) year of publication, (iv) article topic, (v) article type, and (vi) cognitive impairment subtype.
The journal "Neurology" was the most cited journal for cognitive impairment articles shared on social media. Among the various types of cognitive impairment, most articles were related to dementia (all subtypes), Alzheimer's disease, and aging. The most common article type was original scientific paper, especially cohort study. The most popular topic was the identification of protective or risk factors for cognitive impairment.
The characteristics of articles with a high Altmetric Attention Score were somewhat different from those of articles with a high number of traditional citations. Social media had the disadvantage that it was difficult to verify the authenticity of the primary source in question, but the advantage was that it could immediately determine the trends regarding how information about that source was being shared and consumed. Therefore, it may be advisable to use Altmetric analysis in combination with traditional methods of evaluating the research articles to understand the dissemination of scientific research and to direct future research.
随着平均预期寿命的持续增长，人们对认知障碍的兴趣也在不断增加。如今，随着社交媒体的影响力不断扩大，学术研究也通过社交媒体传播，这改变了研究传播的方式和速度，也改变了内容的受众。因此，我们使用 Altmetric（一种新的基于网络的指标集，用于分析内容在社交媒体平台上的影响力）来研究社交媒体上认知障碍主题的有影响力的研究文章的特点。
我们于 2018 年 5 月 25 日进行了 Altmetric Explorer 搜索，以提取以下信息：（i）期刊名称，（ii）期刊影响因子（IF），（iii）发表年份，（iv）文章主题，（v）文章类型，以及（vi）认知障碍亚型。
在社交媒体上分享的认知障碍文章中，引用最多的期刊是《神经病学》。在各种类型的认知障碍中，大多数文章与痴呆（所有亚型）、阿尔茨海默病和衰老有关。最常见的文章类型是原始科学论文，尤其是队列研究。最受欢迎的主题是确定认知障碍的保护或风险因素。
高 Altmetric 关注度得分文章的特征与高传统引文文章的特征有些不同。社交媒体的缺点是难以核实所讨论的原始来源的真实性，但优点是能够立即确定有关该来源的信息是如何被分享和被关注的趋势。因此，使用 Altmetric 分析结合传统的研究文章评估方法来了解科学研究的传播，并指导未来的研究可能是明智的。
