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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Trends and prediction in daily incidence and deaths of COVID-19 in the United States: a search-interest based model
This article has 6 authors:Reviewed by ScreenIT
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mRNA induced expression of human angiotensin-converting enzyme 2 in mice for the study of the adaptive immune response to severe acute respiratory syndrome coronavirus 2
This article has 10 authors:Reviewed by ScreenIT
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Effect of control measure on the development of new COVID-19 cases through SIR model simulation
This article has 2 authors:Reviewed by ScreenIT
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Interactions between seasonal human coronaviruses and implications for the SARS-CoV-2 pandemic: A retrospective study in Stockholm, Sweden, 2009-2020
This article has 5 authors:Reviewed by ScreenIT
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Factors associated with clinical severity in emergency department patients presenting with symptomatic SARS‐CoV‐2 infection
This article has 13 authors:Reviewed by ScreenIT
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Cold traps as reliable devices for quantitative determination of SARS-CoV-2 load in aerosols
This article has 4 authors:Reviewed by ScreenIT
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Spreading of COVID-19 in Italy as the spreading of a wave packet
This article has 3 authors:Reviewed by ScreenIT
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Stability of SARS-CoV-2 on critical personal protective equipment
This article has 5 authors:Reviewed by ScreenIT
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Global between-countries variance in SARS-CoV-2 mortality is driven by reported prevalence, age distribution, and case detection rate
This article has 3 authors:Reviewed by ScreenIT
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Characterizing SARS-CoV-2 Viral Clearance Kinetics to Improve the Design of Antiviral Pharmacometric Studies
This article has 5 authors:Reviewed by ScreenIT