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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Obesity associated with attenuated tissue immune cell responses in COVID-19
This article has 25 authors:Reviewed by ScreenIT
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EFCAB4B (CRACR2A) genetic variants associated with COVID-19 fatality
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 awakens ancient retroviral genes and the expression of proinflammatory HERV-W envelope protein in COVID-19 patients
This article has 21 authors:Reviewed by ScreenIT
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Generation of Novel Severe Acute Respiratory Syndrome Coronavirus 2 Variants on the B.1.1.7 Lineage in 3 Patients With Advanced Human Immunodeficiency Virus-1 Disease
This article has 14 authors:Reviewed by ScreenIT
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Students as Community Vaccinators: Implementation of A Service-Learning COVID-19 Vaccination Program
This article has 7 authors:Reviewed by ScreenIT
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Limited cross-variant immunity from SARS-CoV-2 Omicron without vaccination
This article has 43 authors: -
High Incidence of SARS-CoV-2 Variant of Concern Breakthrough Infections Despite Residual Humoral and Cellular Immunity Induced by BNT162b2 Vaccination in Healthcare Workers: A Long-Term Follow-Up Study in Belgium
This article has 18 authors:Reviewed by ScreenIT
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Development and validation of the symptom burden questionnaire for long covid (SBQ-LC): Rasch analysis
This article has 16 authors:Reviewed by ScreenIT
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Post-traumatic stress symptoms in cancer patients during the COVID-19 pandemic: a one-year longitudinal study
This article has 23 authors:Reviewed by ScreenIT
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Phylodynamic analysis of SARS-CoV-2 spread in Rio de Janeiro, Brazil, highlights how metropolitan areas act as dispersal hubs for new variants
This article has 23 authors:Reviewed by ScreenIT