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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Direct RT-qPCR detection of SARS-CoV-2 RNA from patient nasopharyngeal swabs without an RNA extraction step
This article has 19 authors:Reviewed by ScreenIT
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Replication of Severe Acute Respiratory Syndrome Coronavirus 2 in Human Respiratory Epithelium
This article has 15 authors:Reviewed by ScreenIT
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Analysis of Epidemic Situation of New Coronavirus Infection at Home and Abroad Based on Rescaled Range (R / S) Method
This article has 5 authors:Reviewed by ScreenIT
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Genomic characterization and phylogenetic analysis of SARS‐COV‐2 in Italy
This article has 13 authors:Reviewed by ScreenIT
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Evaluation of Nucleocapsid and Spike Protein-Based Enzyme-Linked Immunosorbent Assays for Detecting Antibodies against SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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COVID-19 Progression Timeline and Effectiveness of Response-to-Spread Interventions across the United States
This article has 3 authors:Reviewed by ScreenIT
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Investigation of ACE2 N-terminal fragments binding to SARS-CoV-2 Spike RBD
This article has 6 authors:Reviewed by ScreenIT
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Identification of Antiviral Drug Candidates against SARS-CoV-2 from FDA-Approved Drugs
This article has 8 authors:Reviewed by ScreenIT
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Nucleotide analogues as inhibitors of SARS‐CoV Polymerase
This article has 10 authors:Reviewed by ScreenIT
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An orally bioavailable broad-spectrum antiviral inhibits SARS-CoV-2 and multiple endemic, epidemic and bat coronavirus
This article has 24 authors:Reviewed by ScreenIT