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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SARS-CoV-2 Delta variant saliva viral load is 15-fold higher than wild-type strains
This article has 4 authors:Reviewed by ScreenIT
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SARS‐COV‐2 genomic monitoring in the state of São Paulo unveils two emerging AY.43 sublineages
This article has 40 authors:Reviewed by ScreenIT
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Coping with COVID-19 Stressors: Adverse and Protective Factors Responding to Emotions in a Chinese Sample
This article has 16 authors:Reviewed by ScreenIT
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A potent human monoclonal antibody with pan-neutralizing activities directly dislocates S trimer of SARS-CoV-2 through binding both up and down forms of RBD
This article has 29 authors:Reviewed by ScreenIT
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Risk for severe outcomes of COVID-19 and PIMS-TS in children with SARS-CoV-2 infection in Germany
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 Virus like Particles produced by a single recombinant baculovirus generate potent neutralizing antibody that protects against variant challenge
This article has 9 authors:Reviewed by ScreenIT
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Phase Shift Between Age-Specific COVID-19 Incidence Curves Points to a Potential Epidemic Driver Function of Kids and Juveniles in Germany
This article has 1 author:Reviewed by ScreenIT
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A recombinant SARS-CoV-2 RBD antigen expressed in insect cells elicits immunogenicity and confirms safety in animal models
This article has 23 authors:Reviewed by ScreenIT
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sgDI-tector: defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs
This article has 10 authors:Reviewed by ScreenIT
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The immunogenicity and reactogenicity of four COVID-19 booster vaccinations against SARS-CoV-2 variants of concerns (Delta, Beta, and Omicron) following CoronaVac or ChAdOx1 nCoV-19 primary series
This article has 14 authors:Reviewed by ScreenIT