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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Colchicine in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
This article has 36 authors:Reviewed by ScreenIT
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COVID-19 outbreak rates and infection attack rates associated with the workplace: a descriptive epidemiological study
This article has 4 authors:Reviewed by ScreenIT
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Efficacy and safety of polyherbal formulation as an add-on to standard-of-care in mild-to-moderate COVID-19: A randomized, double-blind, placebo-controlled trial
This article has 10 authors:Reviewed by ScreenIT
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Behavioural activation to prevent depression and loneliness among socially isolated older people with long-term conditions: The BASIL COVID-19 pilot randomised controlled trial
This article has 25 authors:Reviewed by ScreenIT
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Drug repositioning by merging active subnetworks validated in cancer and COVID-19
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 Patients Analysis using SuperHeat Map and Bayesian Network to identify Comorbidities Correlations under Different Scenarios
This article has 4 authors:Reviewed by ScreenIT
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Controlling risk of SARS-CoV-2 infection in essential workers of enclosed food manufacturing facilities
This article has 8 authors:Reviewed by ScreenIT
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Hydroxychloroquine for prophylaxis of COVID-19 in health workers: A randomized clinical trial
This article has 8 authors:Reviewed by ScreenIT
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Determinants and Trends of COVID-19 Vaccine Hesitancy and Vaccine Uptake in a National Cohort of US Adults: A Longitudinal Study
This article has 16 authors:Reviewed by ScreenIT
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Safety, immunogenicity, and protection provided by unadjuvanted and adjuvanted formulations of a recombinant plant-derived virus-like particle vaccine candidate for COVID-19 in nonhuman primates
This article has 23 authors:Reviewed by ScreenIT