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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The Fc-mediated effector functions of a potent SARS-CoV-2 neutralizing antibody, SC31, isolated from an early convalescent COVID-19 patient, are essential for the optimal therapeutic efficacy of the antibody
This article has 30 authors:Reviewed by ScreenIT
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Rapid High-Throughput Whole-Genome Sequencing of SARS-CoV-2 by Using One-Step Reverse Transcription-PCR Amplification with an Integrated Microfluidic System and Next-Generation Sequencing
This article has 11 authors:Reviewed by ScreenIT
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Computational fluid dynamic (CFD), air flow-droplet dispersion, and indoor CO 2 analysis for healthy public space configuration to comply with COVID 19 protocol
This article has 1 author:Reviewed by ScreenIT
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Comparison of different exit scenarios from the lock-down for COVID-19 epidemic in the UK and assessing uncertainty of the predictions
This article has 5 authors:Reviewed by ScreenIT
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Outcome of COVID-19 with co-existing surgical emergencies in children: our initial experiences and recommendations
This article has 3 authors:Reviewed by ScreenIT
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Discrimination of SARS-Cov 2 and arboviruses (DENV, ZIKV and CHIKV) clinical features using machine learning techniques: a fast and inexpensive clinical screening for countries simultaneously affected by both diseases
This article has 1 author:Reviewed by ScreenIT
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Association Between Preparedness and Response Measures and COVID-19 Incidence and Mortality
This article has 4 authors:Reviewed by ScreenIT
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Covid-19 transmission modelling of students returning home from university
This article has 3 authors:Reviewed by ScreenIT
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Evaluation of stability and inactivation methods of SARS-CoV-2 in context of laboratory settings
This article has 7 authors:Reviewed by ScreenIT
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Estimating the size of undetected cases of the SARS-CoV-2 outbreak in Europe: An upper bound estimator
This article has 4 authors:Reviewed by ScreenIT