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使用替代指标对《康复医学年鉴》中的文章进行文献计量分析。

A Bibliometric Analysis Using Alternative Metrics for Articles in the Annals of Rehabilitation Medicine.

作者信息

Han Seok Cheol, Kang Hyo Jung, Lee Won Jae, Chung Hee Sup, Lee Jong Hyuk

机构信息

Department of Physical Medicine and Rehabilitation, Veterans Health Service Medical Center, Seoul, Korea.

出版信息

Ann Rehabil Med. 2020 Apr;44(2):158-164. doi: 10.5535/arm.2020.44.2.158. Epub 2020 Apr 29.

Abstract

OBJECTIVE

To investigate the articles in the Annals of Rehabilitation Medicine (ARM) using a bibliometric analysis to verify whether there is a correlation between the topics of interest for expert groups and the public media.

METHODS

A total of 1,088 ARM articles from the third issue of 2011 to the third issue of 2019 were analyzed. We conducted a bibliometric analysis of the articles using conventional metrics (CM) and alternative metrics (AM). The CM was investigated by collating the type of publication, number of citations, and the specific field of rehabilitation medicine for each article. The AM was analyzed using the Altmetric Attention Score (AAS) provided by Altmetric, the leading AM company. The correlation between the number of citations and the AAS was tested using the Spearman rank correlation coefficient.

RESULTS

The combined ratio of original articles and case reports was over 90% in this study; however, the total distribution was significantly different compared to previous bibliometric studies (p<0.05). There were 233 articles that satisfied both conditions of at least one citation and at least one AAS point. The number of citations and the AAS were found to have a statistically significant positive linear correlation on a scatter plot (r=0.216, p=0.001).

CONCLUSION

There is a significant correlation between AM and CM, which means itis important to increase the dissemination of academic knowledge through the public media and increase the status of the journal by increasing the citation-related index.

摘要

目的

通过文献计量分析研究《康复医学年鉴》(ARM)中的文章,以验证专家群体感兴趣的主题与大众媒体之间是否存在相关性。

方法

对2011年第三期至2019年第三期共1088篇ARM文章进行分析。我们使用传统指标(CM)和替代指标(AM)对文章进行文献计量分析。通过整理每篇文章的出版物类型、被引次数以及康复医学的具体领域来研究CM。使用领先的替代指标公司Altmetric提供的Altmetric关注度得分(AAS)来分析AM。使用Spearman等级相关系数检验被引次数与AAS之间的相关性。

结果

本研究中原创文章和病例报告的合计比例超过90%;然而,与之前的文献计量研究相比,总体分布存在显著差异(p<0.05)。有233篇文章同时满足至少一次被引和至少一个AAS分数的条件。在散点图上发现被引次数与AAS具有统计学上显著的正线性相关性(r=0.216,p=0.001)。

结论

替代指标与传统指标之间存在显著相关性,这意味着通过大众媒体增加学术知识的传播以及通过提高与被引相关的指数来提升期刊地位很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/054d/7214141/95ae6ded8239/arm-2020-44-2-158f1.jpg

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