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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Viral Load of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Respiratory Aerosols Emitted by Patients With Coronavirus Disease 2019 (COVID-19) While Breathing, Talking, and Singing
This article has 15 authors:Reviewed by ScreenIT
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Variation in Severe Acute Respiratory Syndrome Coronavirus 2 Bioaerosol Production in Exhaled Breath
This article has 6 authors:Reviewed by ScreenIT
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Delta Variants of SARS-CoV-2 Cause Significantly Increased Vaccine Breakthrough COVID-19 Cases in Houston, Texas
This article has 25 authors:Reviewed by ScreenIT
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Sociodemographic differences in patient experience with primary care during COVID-19: results from a cross-sectional survey in Ontario, Canada
This article has 14 authors:Reviewed by ScreenIT
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Robust T-Cell Responses in Anti-CD20-Treated Patients Following COVID-19 Vaccination: A Prospective Cohort Study
This article has 14 authors:Reviewed by ScreenIT
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Investigating vaccine-induced immunity and its effect in mitigating SARS-CoV-2 epidemics in China
This article has 15 authors:Reviewed by ScreenIT
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Estimation of COVID-19 recovery and decease periods in Canada using delay model
This article has 2 authors:Reviewed by ScreenIT
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PRE-CLINICAL IMMUNE RESPONSE AND SAFETY EVALUATION OF THE PROTEIN SUBUNIT VACCINE NANOCOVAX FOR COVID-19
This article has 31 authors:Reviewed by ScreenIT
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Preventable deaths from SARS-CoV-2 in England and Wales: a systematic case series of coroners’ reports during the COVID-19 pandemic
This article has 5 authors:Reviewed by ScreenIT
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Time trends, factors associated with, and reasons for COVID-19 vaccine hesitancy: A massive online survey of US adults from January-May 2021
This article has 4 authors:Reviewed by ScreenIT