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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Apixaban, an orally available anticoagulant, inhibits SARS-CoV-2 replication by targeting its major protease in a non-competitive way
This article has 11 authors:Reviewed by ScreenIT
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Monoclonal antibodies therapy for Covid-19 - Experiences at a regional hospital
This article has 3 authors:Reviewed by ScreenIT
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A multiplex serological assay for the characterization of IgG immune response to SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Vitamin D and socioeconomic deprivation mediate COVID-19 ethnic health disparities
This article has 7 authors:Reviewed by ScreenIT
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Mechanistic Insights into the Effects of Key Mutations on SARS-CoV-2 RBD-ACE2 Binding
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 Acceleration and Vaccine Status in France - Summer 2021
This article has 5 authors:Reviewed by ScreenIT
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Clinical Results with a B Cell Activating Anti-CD73 Antibody for the Immunotherapy of COVID-19
This article has 19 authors:Reviewed by ScreenIT
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Characteristics and outcomes of an international cohort of 400,000 hospitalised patients with Covid-19
This article has 2 authors:Reviewed by ScreenIT
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mRNA-1273 vaccine (Moderna): a better option than BNT162b2 (Pfizer) in kidney transplant recipients and dialysis patients?
This article has 12 authors:Reviewed by ScreenIT
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Field clinical performance of SARS-CoV-2 point-of-care diagnostic tests: a living systematic review of trials up to 17 th of August, 2021
This article has 2 authors:Reviewed by ScreenIT