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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Ca2+-dependent mechanism of membrane insertion and destabilization by the SARS-CoV-2 fusion peptide
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 spike-glycoprotein processing at S1/S2 and S2’and shedding of the ACE2 viral receptor: roles of Furin and TMPRSS2 and implications for viral infectivity and cell-to-cell fusion
This article has 18 authors:Reviewed by ScreenIT
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Dynamics of the COVID -19 Related Publications
This article has 28 authors:Reviewed by ScreenIT
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Surveillance Study of Acute Neurological Manifestations among 439 Egyptian Patients with COVID-19 in Assiut and Aswan University Hospitals
This article has 15 authors:Reviewed by ScreenIT
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Role of serological rapid antibody test in the management of possible COVID-19 cases
This article has 14 authors:Reviewed by ScreenIT
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Sensing of COVID‐19 Antibodies in Seconds via Aerosol Jet Nanoprinted Reduced‐Graphene‐Oxide‐Coated 3D Electrodes
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Racial Segregation, Testing Site Access, and COVID-19 Incidence Rate in Massachusetts, USA
This article has 9 authors:Reviewed by ScreenIT
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Impact of restrictions on parental presence in neonatal intensive care units related to coronavirus disease 2019
This article has 6 authors:Reviewed by ScreenIT
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Severe COVID-19 pneumonia and barotrauma: From the frying pan into the fire
This article has 6 authors:Reviewed by ScreenIT
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Using Virus Sequencing to Determine Source of SARS-CoV-2 Transmission for Healthcare Worker
This article has 5 authors:Reviewed by ScreenIT