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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Post-intravitreal injection endophthalmitis pattern during the COVID-19 pandemic with implementation of patients’ masking
This article has 6 authors:Reviewed by ScreenIT
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A potent SARS-CoV-2 antibody neutralizes Omicron variant by disassembling the spike trimer
This article has 13 authors:Reviewed by ScreenIT
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Maximum likelihood pandemic-scale phylogenetics
This article has 6 authors:Reviewed by ScreenIT
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Determinants of passive antibody efficacy in SARS-CoV-2 infection: a systematic review and meta-analysis
This article has 16 authors:Reviewed by ScreenIT
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Effects of Previous Infection and Vaccination on Symptomatic Omicron Infections
This article has 24 authors:Reviewed by ScreenIT
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Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors
This article has 7 authors:Reviewed by ScreenIT
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Regional importation and asymmetric within-country spread of SARS-CoV-2 variants of concern in the Netherlands
This article has 13 authors:This article has been curated by 1 group: -
Early Detection of Severe Acute Respiratory Syndrome Coronavirus 2 Variants Using Traveler-based Genomic Surveillance at 4 US Airports, September 2021–January 2022
This article has 21 authors:Reviewed by ScreenIT
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Immunogenic superiority and safety of Biological E CORBEVAX vaccine compared to COVISHIELD (ChAdOx1 nCoV-19) vaccine studied in a phase III, single blind, multicenter, randomized clinical trial
This article has 22 authors:Reviewed by ScreenIT
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Clinical and Genetic Risk Factors for Acute Incident Venous Thromboembolism in Ambulatory Patients With COVID-19
This article has 7 authors:Reviewed by ScreenIT