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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Outcome of Conservative Therapy in Coronavirus disease-2019 Patients Presenting With Gastrointestinal Bleeding
This article has 29 authors:Reviewed by ScreenIT
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Seroprevalence of coronavirus disease 2019 (COVID-19) among health care workers from three pandemic hospitals of Turkey
This article has 17 authors:Reviewed by ScreenIT
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UV222 disinfection of SARS-CoV-2 in solution
This article has 5 authors:Reviewed by ScreenIT
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Analysis and forecasting of global real time RT-PCR primers and probes for SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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Inhomogeneous Transmission and Asynchronic Mixing in the Spread of COVID-19 Epidemics
This article has 1 author:Reviewed by ScreenIT
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High-throughput quantitation of SARS-CoV-2 antibodies in a single-dilution homogeneous assay
This article has 22 authors:Reviewed by ScreenIT
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Suppression of MDA5-mediated antiviral immune responses by NSP8 of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Evolution of viral variants in remdesivir‐treated and untreated SARS‐CoV‐2‐infected pediatrics patients
This article has 21 authors:Reviewed by ScreenIT
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Phenomenological Modelling of COVID-19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China
This article has 3 authors:Reviewed by ScreenIT
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A multicenter, randomized, open-label, controlled trial to evaluate the efficacy and tolerability of hydroxychloroquine and a retrospective study in adult patients with mild to moderate coronavirus disease 2019 (COVID-19)
This article has 20 authors:Reviewed by ScreenIT