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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Comparison of SARS-CoV-2 Indirect and Direct Detection Methods
This article has 15 authors:Reviewed by ScreenIT
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An integrated in silico immuno-genetic analytical platform provides insights into COVID-19 serological and vaccine targets
This article has 6 authors:Reviewed by ScreenIT
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MIGRANTS IN TRANSIT AND ASYLUM SEEKERS IN MEXICO: AN EPIDEMIOLOGICAL ANALYSIS OF THE COVID-19 PANDEMIC
This article has 5 authors:Reviewed by ScreenIT
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The timing of contact restrictions and pro-active testing balances the socio-economic impact of a lockdown with the control of infections
This article has 2 authors:Reviewed by ScreenIT
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Beneficial effect of corticosteroids in severe COVID-19 pneumonia: a propensity score matching analysis
This article has 13 authors:Reviewed by ScreenIT
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On the Front (Phone) Lines: Results of a COVID-19 Hotline
This article has 9 authors:Reviewed by ScreenIT
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Meta-analysis of transcriptomes of SARS-Cov2 infected human lung epithelial cells identifies transmembrane serine proteases co-expressed with ACE2 and biological processes related to viral entry, immunity, inflammation and cellular stress
This article has 2 authors:Reviewed by ScreenIT
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Treatment of Coronavirus Disease 2019 (COVID-19) Patients with Convalescent Plasma
This article has 35 authors:Reviewed by ScreenIT
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Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein
This article has 28 authors:Reviewed by ScreenIT
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Antibody repertoire induced by SARS-CoV-2 spike protein immunogens
This article has 9 authors:Reviewed by ScreenIT