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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They stumble that run fast: the economic and COVID-19 transmission impacts of reopening industries in the US
This article has 3 authors:Reviewed by ScreenIT
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An Evaluation of the Vulnerable Physician Workforce in the USA During the Coronavirus Disease-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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Observational study of haloperidol in hospitalized patients with COVID-19
This article has 17 authors:Reviewed by ScreenIT
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Clinical evolution of COVID-19 during pregnancy at different altitudes: a population-based study
This article has 4 authors:Reviewed by ScreenIT
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Elevated temperature inhibits SARS-CoV-2 replication in respiratory epithelium independently of the induction of IFN-mediated innate immune defences
This article has 17 authors:Reviewed by ScreenIT
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Rapid, dose-dependent and efficient inactivation of surface dried SARS-CoV-2 by 254 nm UV-C irradiation
This article has 3 authors:Reviewed by ScreenIT
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Time series analysis and mechanistic modelling of heterogeneity and sero-reversion in antibody responses to mild SARS‑CoV-2 infection
This article has 28 authors:Reviewed by ScreenIT
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Impact of non-pharmaceutical interventions against COVID-19 in Europe in 2020: a quasi-experimental non-equivalent group and time series design study
This article has 4 authors:Reviewed by ScreenIT
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From Infection to Immunity: Understanding the Response to SARS-CoV2 Through In-Silico Modeling
This article has 5 authors:Reviewed by ScreenIT
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On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
This article has 5 authors:Reviewed by ScreenIT