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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Inactivation of SARS-CoV-2 on surfaces and in solution with Virusend (TX-10), a novel disinfectant
This article has 3 authors:Reviewed by ScreenIT
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The combination of Bromelain and Acetylcysteine (BromAc) synergistically inactivates SARS-CoV-2
This article has 9 authors:Reviewed by ScreenIT
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Seroprevalence of anti-SARS-CoV-2 IgG at the first epidemic peak in French Guiana, July 2020
This article has 21 authors:Reviewed by ScreenIT
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A COVID-19 Model for Local Authorities of the United Kingdom
This article has 8 authors:Reviewed by ScreenIT
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Therapeutic Drugs Targeting 2019-nCoV Main Protease by High-Throughput Screening
This article has 9 authors:Reviewed by ScreenIT
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An insight into neurotoxic and toxicity of spike fragments SARS-CoV-2 by exposure environment: A threat to aquatic health?
This article has 18 authors:Reviewed by ScreenIT
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Are psychiatric disorders risk factors for COVID-19 susceptibility and severity? a two-sample, bidirectional, univariable, and multivariable Mendelian Randomization study
This article has 2 authors:Reviewed by ScreenIT
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Prevalence of antibody positivity to SARS-CoV-2 following the first peak of infection in England: Serial cross-sectional studies of 365,000 adults
This article has 16 authors:Reviewed by ScreenIT
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Dental practice in Pre- COVID19 and Future Perspectives
This article has 2 authors:Reviewed by ScreenIT
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Rapid, Sensitive, and Specific Severe Acute Respiratory Syndrome Coronavirus 2 Detection: A Multicenter Comparison Between Standard Quantitative Reverse-Transcriptase Polymerase Chain Reaction and CRISPR-Based DETECTR
This article has 6 authors:Reviewed by ScreenIT