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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Efficacy of Brazilian green propolis (EPP-AF®) as an adjunct treatment for hospitalized COVID-19 patients: A randomized, controlled clinical trial
This article has 25 authors:Reviewed by ScreenIT
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A Cross-Country Examination on the Fear of COVID-19 and the Sense of Loneliness during the First Wave of COVID-19 Outbreak
This article has 7 authors:Reviewed by ScreenIT
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Single-cell landscape of immunological responses in patients with COVID-19
This article has 21 authors:Reviewed by ScreenIT
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Pre-COVID-19 humoral immunity to common coronaviruses does not confer cross-protection against SARS-CoV-2
This article has 26 authors:Reviewed by ScreenIT
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Accelerated intermittent theta burst as a substitute for patients needing electroconvulsive therapy during the COVID-19 pandemic: study protocol for an open-label clinical trial
This article has 12 authors:Reviewed by ScreenIT
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Notable sequence homology of the ORF10 protein introspects the architecture of SARS-CoV-2
This article has 25 authors:Reviewed by ScreenIT
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Providing breastfeeding support during the COVID-19 pandemic: Concerns of mothers who contacted the Australian Breastfeeding Association
This article has 3 authors:Reviewed by ScreenIT
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Comparison of the in-vitro efficacy of different mouthwash solutions targeting SARS-CoV-2 based on the European Standard EN 14476
This article has 11 authors:Reviewed by ScreenIT
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Temperature-mortality association during and before the COVID-19 pandemic in Italy: A nationwide time-stratified case-crossover study
This article has 8 authors:Reviewed by ScreenIT
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Airborne contamination of COVID-19 in hospitals: a scoping review of the current evidence
This article has 6 authors: