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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Immunity status of Health Care Workers post recovery from COVID-19: An online longitudinal panel survey
This article has 8 authors:Reviewed by ScreenIT
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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values
This article has 4 authors:Reviewed by ScreenIT
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A comparative analysis of system features used in the TREC-COVID information retrieval challenge
This article has 2 authors:Reviewed by ScreenIT
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Genomic epidemiology and the role of international and regional travel in the SARS-CoV-2 epidemic in Zimbabwe: a retrospective study of routinely collected surveillance data
This article has 35 authors:Reviewed by ScreenIT
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Suppression and Mitigation Strategies for Control of COVID-19 in New Zealand
This article has 4 authors:Reviewed by ScreenIT
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Individual and social determinants of SARS-CoV-2 testing and positivity in Ontario, Canada: a population-wide study
This article has 13 authors:Reviewed by ScreenIT
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Misinformation on COVID-19 origin and its relationship with perception and knowledge about social distancing: A cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
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Immunological and pathological outcomes of SARS-CoV-2 challenge following formalin-inactivated vaccine in ferrets and rhesus macaques
This article has 42 authors:Reviewed by ScreenIT
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Solar UV-B/A radiation is highly effective in inactivating SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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Preclinical evaluation of Imatinib does not support its use as an antiviral drug against SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT