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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Ultra-Sensitive High-Resolution Profiling of Anti-SARS-CoV-2 Antibodies for Detecting Early Seroconversion in COVID-19 Patients
This article has 16 authors:Reviewed by ScreenIT
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Performance verification of anti-SARS-CoV-2-specific antibody detection by using four chemiluminescence immunoassay systems
This article has 5 authors:Reviewed by ScreenIT
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Seroprevalence of antibodies against SARS-CoV-2 among health care workers in a large Spanish reference hospital
This article has 38 authors:Reviewed by ScreenIT
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Control with uncertain data of socially structured compartmental epidemic models
This article has 3 authors:Reviewed by ScreenIT
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At the height of the storm: Healthcare staff’s health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Community health workers for pandemic response: a rapid evidence synthesis
This article has 5 authors:Reviewed by ScreenIT
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Mental health of clinical staff working in high-risk epidemic and pandemic health emergencies a rapid review of the evidence and living meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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Geographical identification of the vulnerable groups during COVID-19 crisis: the typhoon eye effect and its boundary conditions
This article has 4 authors:Reviewed by ScreenIT
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The chronic kidney disease and acute kidney injury involvement in COVID-19 pandemic: A systematic review and meta-analysis
This article has 7 authors:Reviewed by ScreenIT
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Clinical characteristics and outcomes of inpatients with neurologic disease and COVID-19 in Brescia, Lombardy, Italy
This article has 44 authors:Reviewed by ScreenIT