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新冠疫情研究中期刊与顶级出版商自引率的比较。

Comparison of journal and top publisher self-citation rates in COVID-19 research.

作者信息

Quincho-Lopez Alvaro

机构信息

Unidad de Investigación en Bibliometría, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.

出版信息

PLoS One. 2024 Dec 5;19(12):e0314976. doi: 10.1371/journal.pone.0314976. eCollection 2024.

Abstract

INTRODUCTION

Journal self-citation contributes to the overall citation count of a journal and to some metrics like the impact factor. However, little is known about the extent of journal self-citations in COVID-19 research. This study aimed to determine the journal self-citations in COVID-19 research and to compare them according to the type of publication and publisher.

METHODS

Data in COVID-19 research extracted from the Web of Science Core Collection 2020-2023 was collected and further analyzed with InCites. The journals with the highest self-citation rates and self-citation per publication were identified. Statistical comparisons were made according to the type of publication and publishers, as well as with other major infectious diseases.

RESULTS

The median self-citation rate was 4.0% (IQR 0-11.7%), and the median journal self-citation rate was 5.9% (IQR 0-12.5%). 1,859 journals (13% of total coverage) had self-citation rates at or above 20%, meaning that more than one in five references are journal self-citations. There was a positive and statistically significant correlation of self-citations with the other indicators, including number of publications, citations, and self-citations per publication (p<0.001). Editorial materials contributed more to journal SC with a median self-citation rate of 5%, which was statistically higher than other documents such as articles, letters or reviews (p<0.001). Among the top twelve publishers, the Multidisciplinary Digital Publishing Institute had a median self-citation rate of 8.33% and was statistically higher than the rest (p<0.001). Self-citation rates for COVID-19 were lower than tuberculosis and HIV/AIDS, but self-citations per publication of these diseases were statistically lower than those for COVID-19 (p<0.001).

CONCLUSION

Some journals from the Web of Science Core Collection displayed exorbitant journal self-citation patterns during the period 2020-2023. Approximately, one in every five paper references in COVID-19 is a journal self-citation. Types of publication such as editorials engage in this practice more frequently than others, suggesting that in COVID-19 research, self-citing non-citable items could potentially contribute to inflate journal impact factors during the pandemic.

摘要

引言

期刊自引有助于提高期刊的总被引次数以及影响因子等一些指标。然而,对于COVID-19研究中期刊自引的程度知之甚少。本研究旨在确定COVID-19研究中的期刊自引情况,并根据出版物类型和出版商进行比较。

方法

收集了2020 - 2023年从科学网核心合集提取的COVID-19研究数据,并使用InCites进行进一步分析。确定了自引率和每篇出版物自引次数最高的期刊。根据出版物类型、出版商以及与其他主要传染病进行了统计比较。

结果

自引率中位数为4.0%(四分位距0 - 11.7%),期刊自引率中位数为5.9%(四分位距0 - 12.5%)。1859种期刊(占总收录期刊的13%)的自引率达到或超过20%,这意味着每五篇参考文献中就有一篇以上是期刊自引。自引与其他指标(包括出版物数量、被引次数和每篇出版物自引次数)之间存在正相关且具有统计学意义(p<0.001)。编辑材料对期刊自引的贡献更大,自引率中位数为5%,在统计学上高于文章、信件或评论等其他文献类型(p<0.001)。在排名前十二的出版商中,多学科数字出版研究所的自引率中位数为8.33%,在统计学上高于其他出版商(p<0.001)。COVID-19的自引率低于结核病和艾滋病毒/艾滋病,但这些疾病每篇出版物的自引次数在统计学上低于COVID-19(p<0.001)。

结论

科学网核心合集中的一些期刊在2020 - 2023年期间呈现出过高的期刊自引模式。在COVID-19研究中,大约每五篇论文参考文献中就有一篇是期刊自引。编辑等出版物类型比其他类型更频繁地出现这种情况,这表明在COVID-19研究中,自引不可引用的项目可能会在疫情期间导致期刊影响因子虚高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9c3/11620575/fc9af714acf2/pone.0314976.g001.jpg

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