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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Distinct clinical and immunological profiles of patients with evidence of SARS-CoV-2 infection in sub-Saharan Africa
This article has 69 authors:Reviewed by ScreenIT
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Strategies to exiting the COVID-19 lockdown for workplace and school: A scoping review
This article has 12 authors:Reviewed by ScreenIT
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Adopting STING agonist cyclic dinucleotides as a potential adjuvant for SARS-CoV-2 vaccine
This article has 3 authors:Reviewed by ScreenIT
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How to handle the deceased body of COVID-19: an insight from Indonesian muslim burial handlers’ knowledge, perception, and practice
This article has 3 authors:Reviewed by ScreenIT
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Clinical Characteristics and Risk Factors for Myocardial Injury and Arrhythmia in COVID-19 patients
This article has 13 authors:Reviewed by ScreenIT
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The Association of Low Vitamin K Status with Mortality in a Cohort of 138 Hospitalized Patients with COVID-19
This article has 9 authors:Reviewed by ScreenIT
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Exploring support needs of people living with diabetes during the coronavirus COVID-19 pandemic: insights from a UK survey
This article has 5 authors:Reviewed by ScreenIT
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Evaluation of SARS-CoV-2 neutralizing antibodies using a vesicular stomatitis virus possessing SARS-CoV-2 spike protein
This article has 17 authors:Reviewed by ScreenIT
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Prolonged Low-Dose Methylprednisolone in Patients With Severe COVID-19 Pneumonia
This article has 45 authors:Reviewed by ScreenIT
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Factors Associated with Coronavirus (COVID-19) Deaths and Infections: A Cross Country Evidence
This article has 3 authors:Reviewed by ScreenIT