CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands; NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
J Clin Epidemiol. 2019 Feb;106:88-97. doi: 10.1016/j.jclinepi.2018.10.008. Epub 2018 Oct 19.
Balanced citations are a necessary condition for a sound development of scientific knowledge, whereas selective citations may bias scientific consensus. In this study, we assess which determinants influenced the likelihood of being cited in the literature on trans fatty acids and cholesterol.
We conducted a citation network analysis of the literature concerning trans fats and low density cholesterol and high density cholesterol. Each publication was scored on various potential determinants of citation, such as study outcome, study design, sample size, journal impact factor, and funding source. We applied random effect logistic regression to identify determinants of citation.
A network of 108 publications was identified, containing 5,041 potential citation paths and 669 utilized citation paths. Reporting statistically significant results was found to be a strong predictor of citation, together with sample size, journal impact factor, and the authority of the authors.
Within the literature on trans fat intake and cholesterol, selective citations are based on several grounds. Especially the effect of reporting significant results on citation requires special attention because disproportionate attention is paid to publications suggesting a harmful effect of trans fat on cholesterol.
平衡的引用是科学知识健全发展的必要条件，而选择性的引用可能会使科学共识产生偏差。在这项研究中，我们评估了哪些决定因素会影响反式脂肪酸和胆固醇文献的引用率。
我们对涉及反式脂肪和低密度胆固醇与高密度胆固醇的文献进行了引文网络分析。根据研究结果、研究设计、样本量、期刊影响因子和资金来源等各种潜在决定因素，对每篇出版物进行评分。我们应用随机效应逻辑回归来确定引文的决定因素。
确定了一个包含 108 篇出版物的网络，其中包含 5041 条潜在的引文路径和 669 条利用的引文路径。具有统计学意义的结果表明，这是引文的一个强有力的预测因素，与样本量、期刊影响因子和作者的权威性有关。
在反式脂肪摄入和胆固醇的文献中，选择性的引文是基于几个依据的。特别是报告有意义的结果对引文的影响需要特别关注，因为对提示反式脂肪对胆固醇有害影响的出版物的关注不成比例。
