The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
-
Detection of 2019 novel coronavirus in semen and testicular biopsy specimen of COVID-19 patients
This article has 12 authors:Reviewed by ScreenIT
-
Single‐cell RNA analysis on ACE2 expression provides insights into SARS‐CoV‐2 potential entry into the bloodstream and heart injury
This article has 11 authors:Reviewed by ScreenIT
-
Computed Tomography Findings and Short-term follow-up with Novel Coronavirus Pneumonia
This article has 7 authors:Reviewed by ScreenIT
-
Effects of Angiotensin II Receptor Blockers and ACE (Angiotensin-Converting Enzyme) Inhibitors on Virus Infection, Inflammatory Status, and Clinical Outcomes in Patients With COVID-19 and Hypertension
This article has 11 authors:Reviewed by ScreenIT
-
The effect of nationwide quarantine on anxiety levels during the COVID‐19 outbreak in China
This article has 5 authors:Reviewed by ScreenIT
-
A Mini Review on Current Clinical and Research Findings for Children Suffering from COVID-19
This article has 7 authors:Reviewed by ScreenIT
-
Modeling the COVID-19 outbreaks and the effectiveness of the containment measures adopted across countries
This article has 3 authors:Reviewed by ScreenIT
-
Epigenetic dysregulation of ACE2 and interferon-regulated genes might suggest increased COVID-19 susceptibility and severity in lupus patients
This article has 4 authors:Reviewed by ScreenIT
-
Fatal toxicity of chloroquine or hydroxychloroquine with metformin in mice
This article has 6 authors:Reviewed by ScreenIT
-
Knowledge and beliefs towards universal safety precautions during the coronavirus disease (COVID-19) pandemic among the Indian public: a web-based cross-sectional survey
This article has 7 authors:Reviewed by ScreenIT