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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Country-level Association of Socioeconomic, Environmental and Healthcare-Related Factors with the Disease-Burden and Mortality Rate of COVID-19
This article has 3 authors:Reviewed by ScreenIT
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When Do We Need Massive Computations to Perform Detailed COVID‐19 Simulations?
This article has 2 authors:Reviewed by ScreenIT
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The Yale Department of Medicine COVID-19 Data Explorer and Repository (DOM-CovX): An Innovative Approach to Promoting Collaborative Scholarship During a Pandemic
This article has 13 authors:Reviewed by ScreenIT
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Efficacy of Losartan in Hospitalized Patients With COVID-19–Induced Lung Injury
This article has 36 authors:Reviewed by ScreenIT
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Previous Infection Combined with Vaccination Produces Neutralizing Antibodies with Potency against SARS-CoV-2 Variants
This article has 6 authors:Reviewed by ScreenIT
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Implementation of a Web-Based Symptom Checker to Manage the Quarantine of the USS Theodore Roosevelt Crew Following a Shipboard Outbreak of SARS-CoV-2
This article has 11 authors:Reviewed by ScreenIT
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Data from Prolonged SARS-CoV-2 Infection in Patients with Lymphoid Malignancies
This article has 11 authors:Reviewed by ScreenIT
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Lower Serologic Response to COVID-19 mRNA Vaccine in Patients With Inflammatory Bowel Diseases Treated With Anti-TNFα
This article has 35 authors:Reviewed by ScreenIT
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Durable antibody responses elicited by 1 dose of Ad26.COV2.S and substantial increase after boosting: 2 randomized clinical trials
This article has 19 authors:Reviewed by ScreenIT
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Racial discrimination, low trust in the health system and COVID-19 vaccine uptake: a longitudinal observational study of 633 UK adults from ethnic minority groups
This article has 3 authors:Reviewed by ScreenIT