Zhu Harrison, Narayana Vishnu, Zhou Kelvin, Patel Anisha B
School of Medicine, Baylor College of Medicine, Houston, TX, United States.
Department of Dermatology, UT MD Anderson Cancer Center, Houston, TX, United States.
JMIR Dermatol. 2023 Aug 16;6:e46620. doi: 10.2196/46620.
Alternative bibliometrics or altmetrics, is a measure of an academic article's impact on social media outlets, which is quantified by the Altmetric Attention score (AAS). Given a lack of data for altmetric trends during the COVID-19 pandemic, we conducted a comprehensive, multivariable analysis of top dermatology manuscripts published during this time period.
We aim to assess (1) the relationship between traditional bibiliometrics and Altmetrics and (2) factors associated with high AAS.
All abstracted articles published in the top-5 (ranked by SCImago Journal Rankings) peer-reviewed dermatology journals published in 2021 were included in our study. We collected AAS as the dependent variable and categorical predictor variables included journal title, whether a conflict of interest existed, open access status, whether the article was related to COVID-19 or skin-of-color research, and the type of research (eg, clinical, basic science, review, etc). Numerical predictor variables consisted of the impact factor of journal, total citations, and number of authors. Multivariable linear or logistic regression models were used.
The relationship between AAS and citation number was significant by multivariable analysis during the COVID-19 pandemic (P<.001). Numerous factors, including studies related to COVID-19, whether the article was open access, title of the journal, and journal impact factor were also independently related to higher AAS (P<.002).
Our results validate the use of altmetrics as a complement to traditional bibliometrics, especially in times of widespread scientific interest. Despite existing in a complex realm of bibliometrics, there are also discernable patterns associated with higher AAS. This is especially relevant in the era of growing technologic importance and utility to assess the impact of scientific works within the general public.
替代文献计量学或称为“Altmetrics”，是衡量学术文章在社交媒体平台上影响力的一种方法，通过Altmetric关注度得分（AAS）进行量化。鉴于在新冠疫情期间缺乏关于Altmetrics趋势的数据，我们对这一时期发表的顶级皮肤病学手稿进行了全面的多变量分析。
我们旨在评估（1）传统文献计量学与Altmetrics之间的关系，以及（2）与高AAS相关的因素。
我们的研究纳入了2021年发表在排名前五（按Scimago期刊排名）的同行评审皮肤病学杂志上的所有摘要文章。我们将AAS作为因变量，分类预测变量包括期刊名称、是否存在利益冲突、开放获取状态、文章是否与新冠疫情或有色人种皮肤研究相关，以及研究类型（如临床、基础科学、综述等）。数值预测变量包括期刊的影响因子、总被引次数和作者数量。使用多变量线性或逻辑回归模型。
在新冠疫情期间，通过多变量分析，AAS与被引次数之间的关系具有显著性（P<0.001）。许多因素，包括与新冠疫情相关的研究、文章是否为开放获取、期刊名称以及期刊影响因子，也与较高的AAS独立相关（P<0.002）。
我们的结果验证了Altmetrics作为传统文献计量学补充的用途，特别是在具有广泛科学兴趣的时期。尽管存在于复杂的文献计量学领域，但也存在与较高AAS相关的可识别模式。在技术重要性和实用性不断提高的时代，这对于评估科学作品在公众中的影响力尤为重要。
