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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A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil
This article has 6 authors:Reviewed by ScreenIT
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Evaluation of a novel, rapid antigen detection test for the diagnosis of SARS-CoV-2
This article has 21 authors:Reviewed by ScreenIT
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Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: A cohort study in UK Biobank
This article has 16 authors:Reviewed by ScreenIT
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Possible Link between Higher Transmissibility of Alpha, Kappa and Delta Variants of SARS-CoV-2 and Increased Structural Stability of Its Spike Protein and hACE2 Affinity
This article has 4 authors:Reviewed by ScreenIT
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Low-Dose Lung Radiation Therapy for COVID-19 Lung Disease: A Preclinical Efficacy Study in a Bleomycin Model of Pneumonitis
This article has 13 authors:Reviewed by ScreenIT
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Comparison of SARS-CoV-2 serological assays for use in epidemiological surveillance in Scotland
This article has 17 authors:Reviewed by ScreenIT
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Detection of two CAL.20C SARS-CoV-2 variants in Monterrey metropolitan area in Northeast Mexico
This article has 9 authors:Reviewed by ScreenIT
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Outcomes of COVID-19 Vaccination Efforts in Florida from December 14, 2020 to March 15, 2021 on Older Individuals
This article has 3 authors:Reviewed by ScreenIT
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COVID 19 Knowledge, Attitude, and Practice of the Healthcare Providers in United Arab Emirates
This article has 5 authors:Reviewed by ScreenIT
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A Vaccination Simulator for COVID-19: Effective and Sterilizing Immunization Cases
This article has 5 authors:Reviewed by ScreenIT