论文标题
部分可观测时空混沌系统的无模型预测
Medical articles in questionable journals are less impactful than those in non-questionable journals but still extensively cited
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
A key feature of questionable journals is a lack of adequate peer review of their articles. Content of thus unknown quality may be utilised by unsuspecting practitioners or incorporated into peer-reviewed research, becoming legitimised. It is therefore necessary to examine the citation patterns of articles in questionable journals to understand the impact and reach of research in questionable journals. Similar research has tended to focus on authors from low- and middle-income countries. As such, this study investigates the profile and impact of research in questionable journals by authors in Germany. Questionable journals were identified by matching journals with articles by authors at German institutions from Dimensions to Cabell's Predatory Reports. Metadata for these articles and a comparative sample of articles in non-questionable journals were extracted from Dimensions and the 3 year citations, self-citations, uncited rate, profile of co-authoring and citing countries, and institution type of authors were compared between groups. Nearly 600 articles in 88 questionable journals were published by German authors in 2010-2020. Three-quarters were in the medical and health sciences. Medical articles in questionable journals received significantly fewer citations than similar articles in non-questionable journals. However, articles in questionable journals were still extensively cited in 1,736 primarily non-questionable journals. Self-citations accounted for only 12% of these citations. Authors from non-university medical facilities were over-represented in articles in questionable journals. System-level changes are necessary to eliminate questionable journals and shift high-quality research into reputable venues.
