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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Did the National lockdown lock COVID-19 down in India, and reduce pressure on health infrastructure?
This article has 3 authors:Reviewed by ScreenIT
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Older age is associated with sustained detection of SARS-CoV-2 in nasopharyngeal swab samples
This article has 12 authors:Reviewed by ScreenIT
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Non-communicable diseases and inequalities increase risk of death among COVID-19 patients in Mexico
This article has 2 authors:Reviewed by ScreenIT
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ACE2 polymorphisms as potential players in COVID-19 outcome
This article has 14 authors:Reviewed by ScreenIT
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The Association Between Biomarkers and Clinical Outcomes in Novel Coronavirus Pneumonia in A Us Cohort
This article has 4 authors:Reviewed by ScreenIT
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The association between treatment with heparin and survival in patients with Covid-19
This article has 3 authors:Reviewed by ScreenIT
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Forecasting COVID-19 pandemic in Poland according to government regulations and people behavior
This article has 2 authors:Reviewed by ScreenIT
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New Models of Transmission of COVID-19 with Time under the Influence of Meteorological Determinants
This article has 4 authors:Reviewed by ScreenIT
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Cumulative incidence and diagnosis of SARS-CoV-2 infection in New York
This article has 16 authors:Reviewed by ScreenIT
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Covid19db – An online database of trials of medicinal products to prevent or treat COVID-19, with a specific focus on drug repurposing
This article has 4 authors:Reviewed by ScreenIT