不同的利益相关者,如作者,研究机构,和医疗保健专业人员(HCP)可以以不同的方式确定同行评审出版物的影响。常用的研究影响衡量标准,例如期刊影响因子或H指数,并非旨在评估单个文章的影响。他们严重依赖引用,因此只能分别衡量整个期刊或研究人员的影响,需要几个月或几年才能积累。在过去的十年中,文章级指标(ALM)的发展,衡量单个出版物在包括社交媒体平台在内的环境中获得的在线关注,新闻媒体,引文活动,以及政策和专利引用。这些新工具可以补充传统的文献计量数据,并对出版物的影响提供更全面的评估。本评论讨论了对ALM的需求,并总结了几个例子-PlumX指标,Altmetric,更好的文章度量分数,帝国指数,和scite。我们还讨论了如何使用度量来评估“出版物扩展器”的价值-教育微内容,如动画,通常在HCP教育平台上托管的视频和简单的语言摘要。出版物扩展器根据受众需求调整出版物的关键数据,从而扩展出版物的覆盖范围。这些新方法有可能解决传统指标的局限性,但是新指标的多样性要求用户对与特定出版物相关的影响形式有敏锐的了解,并相应地选择和监控ALM。(240/250字)。
不同的读者有不同的方式来决定科学文章的重要性。用于衡量研究影响的常用方法,比如期刊影响因子或H指数,不是为了衡量这一点。这些方法主要看文章被别人提到多少次,可能需要很长时间才能看到影响。但是在过去的十年里,已经创建了称为文章级度量(ALM)的新工具。这些工具衡量一篇文章在网上获得的关注度,比如在社交媒体上,在新闻中,或者当其他研究人员谈论它时。ALM更好地解释特定文章的重要性。他们可以与通常的方法一起工作来衡量影响。本文讨论了为什么ALM很重要,并给出了这些工具的示例,像PlumX指标,Altmetric,更好的文章度量分数,帝国指数,和scite。它还解释了这些工具如何帮助我们看到动画的价值,视频,或简单语言的摘要。这些使更多的人更容易理解和学习文章。这些衡量影响的新方法可以帮助我们以更完整的方式看到文章的重要性。但是因为有很多不同的方法来衡量这一点,对于用户来说,了解哪些方法与特定文章相关并跟踪它们是很重要的。编辑团队注意:上述PLS的初稿是使用AI/LLM开发的,随后,作者对其进行了修订,以确保准确性和可读性。
Different stakeholders, such as authors, research institutions, and healthcare professionals (HCPs) may determine the impact of peer-reviewed publications in different ways. Commonly-used measures of research impact, such as the Journal Impact Factor or the H-index, are not designed to evaluate the impact of individual articles. They are heavily dependent on citations, and therefore only measure impact of the overall journal or researcher respectively, taking months or years to accrue. The past decade has seen the development of article-level metrics (ALMs), that measure the online attention received by an individual publication in contexts including social media platforms, news media, citation activity, and policy and patent citations. These new tools can complement traditional bibliometric data and provide a more holistic evaluation of the impact of a publication. This commentary discusses the need for ALMs, and summarizes several examples - PlumX Metrics, Altmetric, the Better Article Metrics score, the EMPIRE Index, and scite. We also discuss how metrics may be used to evaluate the value of \"publication extenders\" - educational microcontent such as animations, videos and plain-language summaries that are often hosted on HCP education platforms. Publication extenders adapt a publication\'s key data to audience needs and thereby extend a publication\'s reach. These new approaches have the potential to address the limitations of traditional metrics, but the diversity of new metrics requires that users have a keen understanding of which forms of impact are relevant to a specific publication and select and monitor ALMs accordingly.
Different readers have different ways of deciding how important scientific articles are. The usual methods used to measure the impact of research, like the Journal Impact Factor or the H-index, are not meant to measure this for individual articles. These methods mainly look at how many times the articles are mentioned by others, and it can take a long time to see the impact.But in the past ten years, new tools called article-level metrics (ALMs) have been created. These tools measure how much attention an article gets online, like on social media, in the news, or when other researchers talk about it. ALMs are better at explaining how important a specific article is. They can work together with the usual methods to measure impact.This paper talks about why ALMs are important and gives examples of these tools, like PlumX Metrics, Altmetric, the Better Article Metrics score, the EMPIRE Index, and scite. It also explains how these tools can help us see the value of animations, videos, or summaries in simple language. These make it easier for more people to understand and learn from the articles.These new ways of measuring impact can help us see how important articles are in a more complete way. But because there are many different ways to measure this, it’s important for users to understand which methods are relevant for a specific article and keep track of them.