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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Variant analysis of SARS-CoV-2 genomes in the Middle East
This article has 2 authors:Reviewed by ScreenIT
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In silico and in vitro evaluation of imatinib as an inhibitor for SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Polymorphism and Selection Pressure of SARS-CoV-2 Vaccine and Diagnostic Antigens: Implications for Immune Evasion and Serologic Diagnostic Performance
This article has 2 authors:Reviewed by ScreenIT
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Potent neutralizing antibodies against multiple epitopes on SARS-CoV-2 spike
This article has 24 authors:Reviewed by ScreenIT
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Knowledge, attitudes, and fear of COVID-19 during the Rapid Rise Period in Bangladesh
This article has 11 authors:Reviewed by ScreenIT
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Associations of Global Country Profiles and Modifiable Risk Factors with COVID-19 Cases and Deaths
This article has 6 authors:Reviewed by ScreenIT
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Exosomal microRNAs Drive Thrombosis in COVID-19
This article has 10 authors:Reviewed by ScreenIT
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Limited Role for Antibiotics in COVID-19: Scarce Evidence of Bacterial Coinfection
This article has 6 authors:Reviewed by ScreenIT
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Time Course of COVID-19 Pandemic in Algeria: Retrospective Estimate of the Actual Burden
This article has 2 authors:Reviewed by ScreenIT
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Epidemiological characteristics of patients with residual SARS-Cov-2 in Linyi, China
This article has 4 authors:Reviewed by ScreenIT