Purpose

The study aimed to measure scientific and social impacts of Iranian researchers' “Top Papers” in clinical medicine using citation and altmetric indicators.

Design/methodology/approach

In this applied descriptive-analytical study, it used scientometric analysis. A total of 166 “Top Papers” of Iranian researchers in clinical medicine category of Web of Science (WoS) database including “Highly Cited Papers” and “Hot Papers” published between 2009 and 2019 were used. Overall, 29 indicators and their data were extracted from WoS, Scopus, ResearchGate (RG) and PlumX in March 2020.

Findings

The results showed that there exists a positive correlation between the number of citations in WoS, Scopus, RG, PubMed and Crossref. In addition, it was found that there existed a positive correlation between the received citations by articles and altmetric indicators. According to the results, there is a strong correlation between RG Research Interest and citation impact. The correlation analysis on the Plum Analytics categories including “Usage”, “Capture”, “Mention”, “Social Media” and “Citation” showed the correlations between five dimensions of impact were positive and significant. The results have led the authors to think more about new metrics that can response to new developments in the new information areas.

Research limitations/implications

There are limitations to access altmetric.com in Iran and cannot be used easily. On the other hand, because of considering 24 indicators, authors had to investigate only a sample of 166 top papers from Iranian researchers to present the detailed results. About nature of altmetric indicators, although they reflect the nonacademic impact of articles alongside bibliographic indicators, they still cannot be a complete representative of the influence of their owners.

Practical implications

This study can indicate a practical application appropriate for the future study. It would be valuable to further examine how social academic platforms construct images of impact of research and how this impacts the social impact of the university as a mission. This study suggests that social media attention to academic research can be much greater than what is shown in traditional indicators such as citation.

Originality/value

This study examines 29 indicators from four platforms including RG, WoS, Scopus and PlumX, simultaneously and measures the relationship among them.

中文翻译：

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文章层面跨学术社交网站的altmetric与文献计量指标的关系：以伊朗研究人员临床医学“顶级论文”为例

目的

该研究旨在使用引文和替代指标衡量伊朗研究人员的“顶级论文”在临床医学中的科学和社会影响。

设计/方法/方法

在这项应用描述性分析研究中，它使用了科学计量分析。共使用了 166 篇伊朗研究人员在 Web of Science (WoS) 数据库的临床医学类“Top Paper”，包括 2009 年至 2019 年间发表的“高被引论文”和“热门论文”。总体而言，2020 年 3 月从 WoS、Scopus、ResearchGate（RG）和 PlumX 中提取了 29 个指标及其数据。

发现

结果表明，WoS、Scopus、RG、PubMed和Crossref的被引次数之间存在正相关关系。此外，发现文章接收引用与altmetric指标之间存在正相关关系。根据结果​​，RG 研究兴趣与引文影响之间存在很强的相关性。Plum Analytics 类别包括“使用”、“捕获”、“提及”、“社交媒体”和“引用”的相关性分析表明，影响的五个维度之间的相关性呈正相关且显着。结果促使作者更多地思考可以响应新信息领域新发展的新指标。

研究限制/影响

在伊朗访问 altmetric.com 有限制，不能轻易使用。另一方面，由于考虑了 24 个指标，作者只需要调查来自伊朗研究人员的 166 篇顶级论文的样本才能呈现详细结果。关于替代指标的性质，尽管它们与书目指标一起反映了文章的非学术影响，但它们仍然不能完全代表其所有者的影响。

实际影响

这项研究可以表明适合未来研究的实际应用。进一步研究社会学术平台如何构建研究影响的形象以及这如何影响大学作为使命的社会影响将是有价值的。这项研究表明，社交媒体对学术研究的关注可能比引用等传统指标所显示的要高得多。

原创性/价值

本研究同时考察了 RG、WoS、Scopus 和 PlumX 四个平台的 29 个指标，并衡量了它们之间的关系。