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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Convalescent plasma as potential therapy for severe COVID-19 pneumonia
This article has 16 authors:Reviewed by ScreenIT
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REACT-1 round 8 interim report: SARS-CoV-2 prevalence during the initial stages of the third national lockdown in England
This article has 15 authors:Reviewed by ScreenIT
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Exploring Risks of Human Challenge Trials For COVID‐19
This article has 5 authors:Reviewed by ScreenIT
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Interferon-regulated genetic programs and JAK/STAT pathway activate the intronic promoter of the short ACE2 isoform in renal proximal tubules
This article has 4 authors:Reviewed by ScreenIT
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Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States
This article has 4 authors:Reviewed by ScreenIT
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A compound Dirichlet-Multinomial model for provincial level Covid-19 predictions in South Africa
This article has 2 authors:Reviewed by ScreenIT
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SARS‐CoV‐2‐specific humoral and cellular immunity in two renal transplants and two hemodialysis patients treated with convalescent plasma
This article has 19 authors:Reviewed by ScreenIT
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Autoimmune Encephalitis Presenting With Malignant Catatonia in a 40-Year-Old Male Patient With COVID-19
This article has 9 authors:Reviewed by ScreenIT
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Linear epitope landscape of the SARS-CoV-2 Spike protein constructed from 1,051 COVID-19 patients
This article has 28 authors:Reviewed by ScreenIT
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A zebrafish model for COVID-19 recapitulates olfactory and cardiovascular pathophysiologies caused by SARS-CoV-2
This article has 8 authors: