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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Multimodal data acquisition at SARS‐CoV ‐2 drive through screening centers: Setup description and experiences in Saarland, Germany
This article has 7 authors:Reviewed by ScreenIT
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High-throughput RNA sequencing of paraformaldehyde-fixed single cells
This article has 6 authors:Reviewed by ScreenIT
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Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA
This article has 4 authors:Reviewed by ScreenIT
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Safety and immunogenicity of an inactivated SARS-CoV-2 vaccine, BBV152: a double-blind, randomised, phase 1 trial
This article has 24 authors:Reviewed by ScreenIT
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COVID-PCD: a participatory research study on the impact of COVID-19 in people with primary ciliary dyskinesia
This article has 13 authors:Reviewed by ScreenIT
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Immunogenicity of an AAV-based, room-temperature stable, single dose COVID-19 vaccine in mouse and non-human primates
This article has 40 authors:Reviewed by ScreenIT
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Evaluating 10 Commercially Available SARS-CoV-2 Rapid Serological Tests by Use of the STARD (Standards for Reporting of Diagnostic Accuracy Studies) Method
This article has 18 authors:Reviewed by ScreenIT
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Reverse Transcriptase Loop Mediated Isothermal Amplification (RT-LAMP) for COVID-19 diagnosis: a systematic review and meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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Reliably quantifying the evolving worldwide dynamic state of the COVID-19 outbreak from death records, clinical parametrization, and demographic data
This article has 2 authors:Reviewed by ScreenIT
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Inference on the dynamics of COVID-19 in the United States
This article has 4 authors:Reviewed by ScreenIT