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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Clinical characteristics and outcomes of critically ill patients with COVID-19 in a tertiary community hospital in upstate New York
This article has 7 authors:Reviewed by ScreenIT
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Are men who smoke at higher risk for a more severe case of COVID-19 than women who smoke? A Systematic Review
This article has 5 authors:Reviewed by ScreenIT
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Thrombotic microvascular injury is not mediated by thrombotic microangiopathy despite systemic complement activation in Covid-19 patients
This article has 10 authors:Reviewed by ScreenIT
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Epidemiological and clinical characteristics in patients with SARS-CoV-2 antibody negative probable COVID-19 in Wuhan
This article has 9 authors:Reviewed by ScreenIT
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Rapid SARS-CoV-2 testing in primary material based on a novel multiplex RT-LAMP assay
This article has 18 authors:Reviewed by ScreenIT
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Social response to early-stage government control measures of COVID-19 in Colombia: population survey, April 8-20 2020
This article has 7 authors:Reviewed by ScreenIT
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Comparison of primer-probe sets among different master mixes for laboratory screening of Severe Acute Respiratory Syndrome - Coronavirus 2 ( SARS-CoV-2 )
This article has 8 authors:Reviewed by ScreenIT
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Hospitalized COVID-19 patients treated with convalescent plasma in a mid-size city in the Midwest
This article has 3 authors:Reviewed by ScreenIT
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Spring Weather and COVID-19 Deaths in the U.S.
This article has 6 authors:Reviewed by ScreenIT
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Rapid inactivation of SARS-CoV-2 with LED irradiation of visible spectrum wavelengths
This article has 20 authors:Reviewed by ScreenIT