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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Estimation of true number of COVID-19 infected people in Japan using LINE questionnaire
This article has 2 authors:Reviewed by ScreenIT
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Crowding and the epidemic intensity of COVID-19 transmission
This article has 14 authors:Reviewed by ScreenIT
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Variation in Aerosol Production Across Oxygen Delivery Devices in Spontaneously Breathing Human Subjects
This article has 9 authors:Reviewed by ScreenIT
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SARS-COV-2 comorbidity network and outcome in hospitalized patients in Crema, Italy
This article has 18 authors:Reviewed by ScreenIT
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Proteome-wide analysis of differentially-expressed SARS-CoV-2 antibodies in early COVID-19 infection
This article has 12 authors:Reviewed by ScreenIT
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Pregnant women’s knowledge and practice of preventive measures against COVID‐19 in a low‐resource African setting
This article has 5 authors:Reviewed by ScreenIT
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Rapid direct nucleic acid amplification test without RNA extraction for SARS-CoV-2 using a portable PCR thermocycler
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 outbreak in Greece has passed its rising inflection point and stepping into its peak
This article has 1 author:Reviewed by ScreenIT
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Patient-derived SARS-CoV-2 mutations impact viral replication dynamics and infectivity in vitro and with clinical implications in vivo
This article has 19 authors:Reviewed by ScreenIT
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The focus and timing of COVID-19 pandemic control measures under healthcare resource constraints
This article has 4 authors:Reviewed by ScreenIT