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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Limit of detection in different matrices of 19 commercially available rapid antigen tests for the detection of SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT
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CERC-002, a human anti-LIGHT mAb reduces respiratory failure and death in hospitalized COVID-19 ARDS patients
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 vaccine hesitancy among individuals with cancer, autoimmune diseases, and other serious comorbid conditions
This article has 9 authors:Reviewed by ScreenIT
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Using translational in vitro-in vivo modeling to improve drug repurposing outcomes for inhaled COVID-19 therapeutics
This article has 3 authors:Reviewed by ScreenIT
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Morphometry of SARS-CoV and SARS-CoV-2 particles in ultrathin plastic sections of infected Vero cell cultures
This article has 6 authors:Reviewed by ScreenIT
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An Innovative Non-Pharmaceutical Intervention to Mitigate SARS-CoV02 Spread: Probability Sampling to Identify and Isolate Asymptomatic Cases
This article has 7 authors:Reviewed by ScreenIT
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The balancing role of distribution speed against varying efficacy levels of COVID-19 vaccines under variants
This article has 4 authors:Reviewed by ScreenIT
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Antibody responses to SARS-CoV-2 vaccines in 45,965 adults from the general population of the United Kingdom
This article has 71 authors:Reviewed by ScreenIT
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Effectiveness of a telerehabilitation program for COVID-19 survivors (TERECO) on exercise capacity, pulmonary function, lower limb muscle strength, and quality of life: a randomized controlled trial
This article has 11 authors:Reviewed by ScreenIT
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Analysis of SARS-CoV-2 Mutations Over Time Reveals Increasing Prevalence of Variants in the Spike Protein and RNA-Dependent RNA Polymerase
This article has 4 authors:Reviewed by ScreenIT