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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Efficacy of Sofosbuvir plus Ledipasvir in Egyptian patients with COVID-19 compared to standard treatment: Randomized controlled trial
This article has 25 authors:Reviewed by ScreenIT
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Telomere-length dependent T-cell clonal expansion: A model linking ageing to COVID-19 T-cell lymphopenia and mortality
This article has 7 authors:Reviewed by ScreenIT
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Evaluating the effects of second-dose vaccine-delay policies in European countries: A simulation study based on data from Greece
This article has 5 authors:Reviewed by ScreenIT
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Predominance of the SARS-CoV-2 Lineage P.1 and Its Sublineage P.1.2 in Patients from the Metropolitan Region of Porto Alegre, Southern Brazil in March 2021
This article has 11 authors:Reviewed by ScreenIT
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COVID symptoms, testing, shielding impact on patient‐reported outcomes and early vaccine responses in individuals with multiple myeloma
This article has 18 authors:Reviewed by ScreenIT
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Effectiveness of the CoronaVac vaccine in older adults during a gamma variant associated epidemic of covid-19 in Brazil: test negative case-control study
This article has 20 authors:Reviewed by ScreenIT
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Rapid and High-Throughput Reverse Transcriptase Quantitative PCR (RT-qPCR) Assay for Identification and Differentiation between SARS-CoV-2 Variants B.1.1.7 and B.1.351
This article has 16 authors:Reviewed by ScreenIT
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Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK
This article has 8 authors:Reviewed by ScreenIT
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The risk of SARS-CoV-2 outbreaks in low prevalence settings following the removal of travel restrictions
This article has 4 authors:Reviewed by ScreenIT
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Deamidation drives molecular aging of the SARS-CoV-2 spike protein receptor-binding motif
This article has 14 authors:Reviewed by ScreenIT