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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Evaluation of the Access Bio CareStart rapid SARS-CoV-2 antigen test in asymptomatic individuals tested at a community mass-testing program in Western Massachusetts
This article has 18 authors:Reviewed by ScreenIT
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Hidden fraction of Polish population immune to SARS-CoV-2 in May 2021
This article has 16 authors:Reviewed by ScreenIT
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Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
This article has 11 authors:Reviewed by ScreenIT
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Spectrum of HRCT Chest Findings in RT-PCR Positive Asymptomatic COVID-19 Patients at a COVID Designated Hospital in Nepal
This article has 6 authors:Reviewed by ScreenIT
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The percentage of Monocytes CD39+ is higher in Pregnant COVID-19 than in Non-Pregnant COVID-19 patients
This article has 26 authors:Reviewed by ScreenIT
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Persistence of SARS-CoV-2 total immunoglobulins in a series of convalescent plasma and blood donors
This article has 7 authors:Reviewed by ScreenIT
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Development of an Index to Assess COVID-19 Hospital Care Installed Capacity in the 450 Brazilian Health Regions
This article has 11 authors:Reviewed by ScreenIT
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Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 Susceptibility, Mortality, and Length of hospitalization based on age-sex composition: Evidence from Davao Region Philippines
This article has 1 author:Reviewed by ScreenIT
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Data-Driven Patterns in Protective Effects of Ibuprofen and Ketorolac on Hospitalized Covid-19 Patients
This article has 3 authors:Reviewed by ScreenIT