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
-
Mechanically Ventilated Patients Shed High-Titer Live Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) for Extended Periods From Both the Upper and Lower Respiratory Tract
This article has 10 authors:Reviewed by ScreenIT
-
Neutralizing antibody responses to SARS-CoV-2: A population based seroepidemiological analysis
This article has 10 authors:Reviewed by ScreenIT
-
Understanding the impact of the COVID-19 pandemic on a socially deprived UK coastal town: a preliminary exploratory analysis of health and socioeconomic data
This article has 14 authors:Reviewed by ScreenIT
-
Utilization of a SARS-CoV-2 Variant Assay for the Rapid Differentiation of Omicron and Delta
This article has 7 authors:Reviewed by ScreenIT
-
Real-time Estimation of Global CFR Ascribed to COVID-19 Confirmed Cases Applying Machine Learning Technique
This article has 2 authors:Reviewed by ScreenIT
-
A simple and quick PCR based method for detection of Omicron variant of SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
-
Controlling the Worldwide Chaotic Spreading of COVID-19 through Vaccinations
This article has 2 authors:Reviewed by ScreenIT
-
Three-month follow-up of durability of response to the third dose of the SARS-CoV-2 BNT162b2 vaccine in adults aged 60 years and older: a prospective cohort study
This article has 13 authors:Reviewed by ScreenIT
-
Persisting chemosensory impairments in 366 healthcare workers following COVID-19: an 11-month follow-up
This article has 10 authors:Reviewed by ScreenIT
-
mRNA-1273 and Ad26.COV2.S vaccines protect against the B.1.621 variant of SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT