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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Face masks considerably reduce COVID-19 cases in Germany
This article has 4 authors:Reviewed by ScreenIT
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Sentinel Coronavirus environmental monitoring can contribute to detecting asymptomatic SARS-CoV-2 virus spreaders and can verify effectiveness of workplace COVID-19 controls
This article has 10 authors:Reviewed by ScreenIT
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Electrocardiographic Safety of Daily Hydroxychloroquine 400 mg Plus Azithromycin 250 mg as an Ambulatory Treatment for COVID-19 Patients in Cameroon
This article has 29 authors:Reviewed by ScreenIT
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Predicting outcomes of COVID-19 from admission biomarkers: a prospective UK cohort study
This article has 12 authors:Reviewed by ScreenIT
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Angiotensin-(3-4) modulates the overweight- and undernutrition-induced ACE2 downregulation in renal proximal tubule cells: implications for COVID-19?
This article has 5 authors:Reviewed by ScreenIT
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An in vitro assessment of anti-SARS-CoV-2 activity of oral preparations of iodine complexes (RENESSANS)
This article has 20 authors:Reviewed by ScreenIT
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High-throughput rational design of the remdesivir binding site in the RdRp of SARS-CoV-2: implications for potential resistance
This article has 4 authors:Reviewed by ScreenIT
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Role of Anti-SARS-CoV-2 antibodies in different cohorts: Can they provide clues for appropriate patient triaging?
This article has 7 authors:Reviewed by ScreenIT
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Whole-Genome Sequences of the Severe Acute Respiratory Syndrome Coronavirus-2 obtained from Romanian patients between March and June of 2020
This article has 5 authors:Reviewed by ScreenIT
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Effects of Anticoagulants and Corticosteroids Therapy in Patients Affected by Severe COVID-19 Pneumonia
This article has 10 authors:Reviewed by ScreenIT