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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An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021
This article has 19 authors:Reviewed by ScreenIT
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Emergence and Spread of a B.1.1.28-Derived P.6 Lineage with Q675H and Q677H Spike Mutations in Uruguay
This article has 44 authors:Reviewed by ScreenIT
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Beta SARS-CoV-2 variant and BNT162b2 vaccine effectiveness in long-term care facilities in France
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 in Londrina-PR-Brazil: SEIR Model with Parameter Optimization
This article has 6 authors:Reviewed by ScreenIT
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Risk of Myocarditis from COVID-19 Infection in People Under Age 20: A Population-Based Analysis
This article has 3 authors:Reviewed by ScreenIT
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Severity of SARS-CoV-2 reinfections in second wave determines likelihood of mild endemicity
This article has 4 authors:Reviewed by ScreenIT
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Understanding the role of memory re-activation and cross-reactivity in the defense against SARS-CoV-2
This article has 15 authors:Reviewed by ScreenIT
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Photosensitized Electrospun Nanofibrous Filters for Capturing and Killing Airborne Coronaviruses under Visible Light Irradiation
This article has 8 authors:Reviewed by ScreenIT
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Monitoring COVID-19 spread in Prague local neighborhoods based on the presence of SARS-CoV-2 RNA in wastewater collected throughout the sewer network
This article has 17 authors:Reviewed by ScreenIT
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Change in Symptoms and Immune Response in People with Post-Acute Sequelae of SARS-Cov-2 Infection ( PASC ) After SARS-Cov-2 Vaccination
This article has 12 authors:Reviewed by ScreenIT