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 receptor is co-expressed with elements of the kinin–kallikrein, renin–angiotensin and coagulation systems in alveolar cells
This article has 7 authors:Reviewed by ScreenIT
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At-home sampling to meet geographical challenges for serological assessment of SARS-CoV-2 exposure in a rural region of northern Sweden, March to May 2021: a retrospective cohort study
This article has 22 authors:Reviewed by ScreenIT
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Comparative assessment of multiple COVID-19 serological technologies supports continued evaluation of point-of-care lateral flow assays in hospital and community healthcare settings
This article has 31 authors:Reviewed by ScreenIT
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Relationship Between COVID-19 Infection and Risk Perception, Knowledge, Attitude, and Four Nonpharmaceutical Interventions During the Late Period of the COVID-19 Epidemic in China: Online Cross-Sectional Survey of 8158 Adults
This article has 13 authors:Reviewed by ScreenIT
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Landscape and selection of vaccine epitopes in SARS-CoV-2
This article has 28 authors:Reviewed by ScreenIT
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Rapid detection of SARS-CoV-2 and other respiratory viruses by using LAMP method with Nanopore Flongle workflow
This article has 9 authors:Reviewed by ScreenIT
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In silico Design and Characterization of Multi-epitopes Vaccine for SARS-CoV2 from Its Spike Protein
This article has 1 author:Reviewed by ScreenIT
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Brief Communication: Magnetic Immuno-Detection of SARS-CoV-2 specific Antibodies
This article has 5 authors:Reviewed by ScreenIT
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Risk factors associated with mortality in hospitalized patients with SARS-CoV-2 infection. A prospective, longitudinal, unicenter study in Reus, Spain
This article has 11 authors:Reviewed by ScreenIT
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Optimized Pseudotyping Conditions for the SARS-COV-2 Spike Glycoprotein
This article has 9 authors:Reviewed by ScreenIT