ScreenIT
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
-
Subsequent waves of viral pandemics, a hint for the future course of the SARS-CoV-2 pandemic
This article has 5 authors:Reviewed by ScreenIT
-
Health-related quality of life of the adult COVID-19 patients following one-month illness experience since diagnosis: Findings of a cross-sectional study in Bangladesh
This article has 5 authors:Reviewed by ScreenIT
-
Role of professionalism in response to the COVID-19 pandemic: Does a public health or medical background help?
This article has 4 authors:Reviewed by ScreenIT
-
Predictors of negative first SARS-CoV-2 RT-PCR despite final diagnosis of COVID-19 and association with outcome
This article has 12 authors:Reviewed by ScreenIT
-
Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients
This article has 22 authors:Reviewed by ScreenIT
-
Risk Factors for SARS-CoV-2 Seropositivity in a Health Care Worker Population
This article has 28 authors:Reviewed by ScreenIT
-
Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
This article has 53 authors:Reviewed by ScreenIT
-
SARS‐CoV‐2 in Argentina: Lockdown, mobility, and contagion
This article has 1 author:Reviewed by ScreenIT
-
GRP78 binds SARS-CoV-2 Spike protein and ACE2 and GRP78 depleting antibody blocks viral entry and infection in vitro
This article has 7 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
Predicting the cumulative medical load of COVID-19 outbreaks after the peak in daily fatalities
This article has 5 authors:Reviewed by ScreenIT