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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Hydroxychloroquine Inhibits the Trained Innate Immune Response to Interferons
This article has 19 authors:Reviewed by ScreenIT
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Magnitude and Kinetics of Anti–Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Responses and Their Relationship to Disease Severity
This article has 14 authors:Reviewed by ScreenIT
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Effect of Tocilizumab in Hospitalized Patients with Severe COVID-19 Pneumonia: A Case-Control Cohort Study
This article has 13 authors:Reviewed by ScreenIT
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Severe Acute Respiratory Syndrome Coronavirus 2 Placental Infection and Inflammation Leading to Fetal Distress and Neonatal Multi-Organ Failure in an Asymptomatic Woman
This article has 13 authors:Reviewed by ScreenIT
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Linear epitopes of SARS-CoV-2 spike protein elicit neutralizing antibodies in COVID-19 patients
This article has 17 authors:Reviewed by ScreenIT
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Effectiveness of stay-in-place-orders during COVID-19 pandemic: Evidence from US border counties
This article has 2 authors:Reviewed by ScreenIT
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A web survey to assess the use efficacy of personnel protective materials among allied health care workers during COVID-19 pandemic at North-East India
This article has 5 authors:Reviewed by ScreenIT
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Intimate Partner Violence Victimization and Perpetration Among U.S. Adults During the Earliest Stage of the COVID-19 Pandemic
This article has 3 authors:Reviewed by ScreenIT
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Effect of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the United States
This article has 5 authors:Reviewed by ScreenIT
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Benchmarking Deep Learning Models and Automated Model Design for COVID-19 Detection with Chest CT Scans
This article has 9 authors:Reviewed by ScreenIT