日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Safeguarding Open Science from exploitative practices

保护开放科学免受剥削行为侵害

Maupin, Danny; Spick, Matt; Geifman, Nophar

Dramatic increases in redundant publications in the Generative AI era

生成式人工智能时代重复出版物数量急剧增加

Maupin, Danny; Suchak, Tulsi; Barnett, Adrian; Spick, Matt

Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database

基于美国国家健康与营养调查(NHANES)数据库,大量公式化的研究文章涌现,其中包括不恰当的研究设计和错误的发现。

Suchak, Tulsi; Aliu, Anietie E; Harrison, Charlie; Zwiggelaar, Reyer; Geifman, Nophar; Spick, Matt

Single-Cell Lipidomics by LC-MS Interlaboratory Study Reveals the Impact of X-ray Irradiation on a Pancreatic Cancer Cell Line and Its Bystanders.

利用液相色谱-质谱联用技术进行单细胞脂质组学实验室间研究,揭示了 X 射线照射对胰腺癌细胞系及其周围细胞的影响

Saunders Kyle D G, von Gerichten Johanna, Deshpande Rahul, Spick Matt, Bird Susan, Schettino Giuseppe, Bolland Hannah, Whetton Anthony, Velliou Eirini, Bailey Melanie J

Variable hyperthyroidism outcomes related to different treatment regimens: an analysis of UK Biobank data

不同治疗方案导致的甲亢预后差异:英国生物银行数据分析

Elomaa, Kris; Spick, Matt; Gan, Earn H; Pearce, Simon H; Geifman, Nophar

Single-cell lipidomics: performance evaluation across four liquid chromatography mass spectrometry (LC-MS) systems

单细胞脂质组学:四种液相色谱-质谱(LC-MS)系统的性能评估

von Gerichten, Johanna; Saunders, Kyle D G; Spick, Matt; Bailey, Melanie J

Single-cell lipidomics: protocol development for reliable cellular profiling using capillary sampling.

单细胞脂质组学:利用毛细管取样进行可靠细胞分析的方案开发

Kontiza Anastasia, von Gerichten Johanna, Spick Matt, Fraser Emily, Costa Catia, Saunders Kyle D G, Whetton Anthony D, Newman Carla F, Bailey Melanie J

Challenges and opportunities for statistical power and biomarker identification arising from rhythmic variation in proteomics

蛋白质组学节律性变化带来的统计功效和生物标志物识别的挑战与机遇

Spick, Matt; Isherwood, Cheryl M; Gethings, Lee A; Hughes, Christopher J; Daly, Matthew E; Hassanin, Hana; van der Veen, Daan R; Skene, Debra J; Johnston, Jonathan D

Observations from Statistical Review Editors: A Commentary

来自《统计评论》编辑的观察:评论

Spick, Matt; Higgins, Jan; Green, Cynthia L; Matsouaka, Roland; Shin, Daniel B; Hall, Russell P 3rd; Geifman, Nophar

Meta-Analysis of COVID-19 Metabolomics Identifies Variations in Robustness of Biomarkers

新冠病毒代谢组学荟萃分析揭示生物标志物稳健性的差异

Onoja, Anthony; von Gerichten, Johanna; Lewis, Holly-May; Bailey, Melanie J; Skene, Debra J; Geifman, Nophar; Spick, Matt