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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Predication of Pandemic COVID-19 situation in Maharashtra, India
This article has 1 author:Reviewed by ScreenIT
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The efficiency in the ordinary hospital bed management in Italy: An in-depth analysis of intensive care unit in the areas affected by COVID-19 before the outbreak
This article has 3 authors:Reviewed by ScreenIT
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Efficient network immunization under limited knowledge
This article has 7 authors:Reviewed by ScreenIT
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COVID-19: Tracking the Pandemic with A Simple Curve Approximation Tool (SCAT)
This article has 1 author:Reviewed by ScreenIT
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Can people with asymptomatic or pre-symptomatic COVID-19 infect others: a systematic review of primary data
This article has 1 author:Reviewed by ScreenIT
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How much of SARS-CoV-2 Infections is India detecting? A model-based estimation
This article has 2 authors:Reviewed by ScreenIT
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Convalescent Plasma to Treat COVID-19: Chinese Strategy and Experiences
This article has 9 authors:Reviewed by ScreenIT
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Key to successful treatment of COVID-19: accurate identification of severe risks and early intervention of disease progression
This article has 13 authors:Reviewed by ScreenIT
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Adjuvant corticosteroid therapy for critically ill patients with COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Mental health status of the general population, healthcare professionals, and university students during 2019 coronavirus disease outbreak in Jordan: A cross‐sectional study
This article has 16 authors:Reviewed by ScreenIT