Wittau Jonathan, Celik Serkan, Kacprowski Tim, Deserno Thomas M, Seifert Roland
Institute of Pharmacology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Braunschweig Integrated Centre of Systems Biology, TU Braunschweig, Braunschweig, Germany.
Naunyn Schmiedebergs Arch Pharmacol. 2024 Apr;397(4):2171-2181. doi: 10.1007/s00210-023-02741-w. Epub 2023 Oct 5.
Honesty of publications is fundamental in science. Unfortunately, science has an increasing fake paper problem with multiple cases having surfaced in recent years, even in renowned journals. There are companies, the so-called paper mills, which professionally fake research data and papers. However, there is no easy way to systematically identify these papers. Here, we show that scanning for exchanged authors in resubmissions is a simple approach to detect potential fake papers. We investigated 2056 withdrawn or rejected submissions to Naunyn-Schmiedeberg's Archives of Pharmacology (NSAP), 952 of which were subsequently published in other journals. In six cases, the stated authors of the final publications differed by more than two thirds from those named in the submission to NSAP. In four cases, they differed completely. Our results reveal that paper mills take advantage of the fact that journals are unaware of submissions to other journals. Consequently, papers can be submitted multiple times (even simultaneously), and authors can be replaced if they withdraw from their purchased authorship. We suggest that publishers collaborate with each other by sharing titles, authors, and abstracts of their submissions. Doing so would allow the detection of suspicious changes in the authorship of submitted and already published papers. Independently of such collaboration across publishers, every scientific journal can make an important contribution to the integrity of the scientific record by analyzing its own pool of withdrawn and rejected papers versus published papers according to the simple algorithm proposed in the present paper.
出版物的诚信是科学的根本。不幸的是,科学领域存在日益严重的假论文问题,近年来已出现多起案例,甚至在著名期刊中也有。有一些公司,即所谓的论文工厂,专门伪造研究数据和论文。然而,目前还没有简单的方法能够系统地识别这些论文。在此,我们表明,在重新提交的稿件中筛查交换作者是一种检测潜在假论文的简单方法。我们调查了2056篇提交给《瑙恩-施米德贝格药理学档案》(NSAP)后被撤回或拒稿的稿件,其中952篇随后在其他期刊上发表。在6个案例中,最终发表文章的署名作者与提交给NSAP的稿件中署名的作者相差超过三分之二。在4个案例中,两者完全不同。我们的结果表明,论文工厂利用了期刊不了解稿件是否提交给其他期刊这一情况。因此,稿件可以多次提交(甚至同时提交),并且如果购买署名的作者退出,还可以更换作者。我们建议出版商相互合作,分享提交稿件的标题、作者和摘要。这样做将有助于发现提交稿件和已发表论文在作者署名方面的可疑变化。除了这种跨出版商的合作之外,每一本科学期刊都可以通过根据本文提出的简单算法,分析其自身的撤回和拒稿稿件库与已发表论文库,为科学记录的完整性做出重要贡献。