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
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Safety and immunogenicity following a homologous booster dose of a SARS-CoV-2 recombinant spike protein vaccine (NVX-CoV2373): a secondary analysis of a randomised, placebo-controlled, phase 2 trial
This article has 42 authors:Reviewed by ScreenIT
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Influenza A H1N1–mediated pre-existing immunity to SARS-CoV-2 predicts COVID-19 outbreak dynamics
This article has 18 authors:Reviewed by ScreenIT
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Change in covid-19 risk over time following vaccination with CoronaVac: test negative case-control study
This article has 22 authors:Reviewed by ScreenIT
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Estimation of Serial Interval and Reproduction Number to Quantify the Transmissibility of SARS-CoV-2 Omicron Variant in South Korea
This article has 7 authors:Reviewed by ScreenIT
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Pathophysiological Response to SARS-CoV-2 Infection Detected by Infrared Spectroscopy Enables Rapid and Robust Saliva Screening for COVID-19
This article has 15 authors:Reviewed by ScreenIT
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Serum anti-Spike antibody titers before and after heterologous booster with mRNA-1273 SARS-CoV-2 vaccine following two doses of inactivated whole-virus CoronaVac vaccine
This article has 17 authors:Reviewed by ScreenIT
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Estimating the impact of implementation and timing of the COVID-19 vaccination programme in Brazil: a counterfactual analysis
This article has 10 authors:Reviewed by ScreenIT
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Evaluation of the Implementation of the 4C Mortality Score in United Kingdom hospitals during the second pandemic wave
This article has 35 authors:Reviewed by ScreenIT
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Risk of Myocarditis After Sequential Doses of COVID-19 Vaccine and SARS-CoV-2 Infection by Age and Sex
This article has 14 authors:Reviewed by ScreenIT
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A Novel Methodology for the Synchronous Collection and Multimodal Visualization of Continuous Neurocardiovascular and Neuromuscular Physiological Data in Adults with Long COVID
This article has 7 authors:Reviewed by ScreenIT