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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Improving human coronavirus OC43 (HCoV-OC43) research comparability in studies using HCoV-OC43 as a surrogate for SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT
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Use of 1-MNA to Improve Exercise Tolerance and Fatigue in Patients after COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Plasma P ‐selectin is an early marker of thromboembolism in COVID ‐19
This article has 9 authors:Reviewed by ScreenIT
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Re-emergence of Gamma-like-II and emergence of Gamma-S:E661D SARS-CoV-2 lineages in the south of Brazil after the 2021 outbreak
This article has 25 authors:Reviewed by ScreenIT
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The age-stratified analytical model for the spread of the COVID-19 epidemic
This article has 2 authors:Reviewed by ScreenIT
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Comparison of humoral and cellular responses in kidney transplant recipients receiving BNT162b2 and ChAdOx1 SARS-CoV-2 vaccines
This article has 19 authors:Reviewed by ScreenIT
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Factors associated with transmission of COVID-19 in long-term care facility outbreaks
This article has 4 authors:Reviewed by ScreenIT
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Contamination of personal protective equipment during COVID-19 autopsies
This article has 17 authors:Reviewed by ScreenIT
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Evidence of SARS-CoV-2-Specific Memory B Cells Six Months After Vaccination With the BNT162b2 mRNA Vaccine
This article has 14 authors:Reviewed by ScreenIT
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Absence of SARS-CoV-2 antibodies in pre-pandemic plasma from children and adults in Vietnam
This article has 20 authors:Reviewed by ScreenIT