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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Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
This article has 8 authors:Reviewed by ScreenIT
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On the true numbers of COVID-19 infections: behind the available data
This article has 3 authors:Reviewed by ScreenIT
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Anti-SARS-CoV-2 IgG responses are powerful predicting signatures for the outcome of COVID-19 patients
This article has 25 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Symptom- and Prevention-Based Testing of COVID-19 in Nursing Home Residents: A Retrospective Cohort Study
This article has 7 authors:Reviewed by ScreenIT
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Fatal COVID-19 and non-COVID-19 Acute Respiratory Distress Syndrome is Associated with Incomplete Alveolar Type 1 Epithelial Cell Differentiation from the Transitional State Without Fibrosis
This article has 8 authors:Reviewed by ScreenIT
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Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic
This article has 5 authors:Reviewed by ScreenIT
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The association of smoking status with hospitalisation for COVID-19 compared with other respiratory viruses a year previous: A case-control study at a single UK National Health Service trust
This article has 5 authors:Reviewed by ScreenIT
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A COVID-19 Reopening Readiness Index: The Key to Opening up the Economy
This article has 2 authors:Reviewed by ScreenIT
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Conserved interactions required for in vitro inhibition of the main protease of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
This article has 11 authors:Reviewed by ScreenIT
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Mental health service activity during COVID-19 lockdown among individuals with Personality Disorders: South London and Maudsley data on services and mortality from January to May 2020
This article has 4 authors:Reviewed by ScreenIT