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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Early Treatment with Fluvoxamine among Patients with COVID-19: A Cost-Consequence Model
This article has 9 authors:Reviewed by ScreenIT
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Tracking community infection dynamics of COVID-19 by monitoring SARS-CoV-2 RNA in wastewater, counting positive reactions by qPCR
This article has 7 authors:Reviewed by ScreenIT
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Neutralizing antibody activity against 21 SARS-CoV-2 variants in older adults vaccinated with BNT162b2
This article has 16 authors:Reviewed by ScreenIT
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Population Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021
This article has 8 authors:Reviewed by ScreenIT
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Three doses of BNT162b2 vaccine confer neutralising antibody capacity against the SARS-CoV-2 Omicron variant
This article has 14 authors:Reviewed by ScreenIT
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COVID-19 vaccination effectiveness rates by week and sources of bias: a retrospective cohort study
This article has 2 authors:Reviewed by ScreenIT
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Healthcare Workers’ SARS-CoV-2 Omicron Variant Uncertainty-Related Stress, Resilience, and Coping Strategies during the First Week of the World Health Organization’s Alert
This article has 23 authors:Reviewed by ScreenIT
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Saliva swabs are the preferred sample for Omicron detection
This article has 9 authors:Reviewed by ScreenIT
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Relative Importance of Various Inflammatory Markers and Their Critical Thresholds for COVID-19 Mortality
This article has 1 author:Reviewed by ScreenIT
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Effectiveness of BNT162b2 and mRNA-1273 Second Doses and Boosters for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and SARS-CoV-2–Related Hospitalizations: A Statewide Report From the Minnesota Electronic Health Record Consortium
This article has 17 authors:Reviewed by ScreenIT