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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Olfactory Training and Visual Stimulation Assisted by a Web Application for Patients With Persistent Olfactory Dysfunction After SARS-CoV-2 Infection: Observational Study
This article has 7 authors:Reviewed by ScreenIT
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High level production and characterization of truncated human angiotensin converting enzyme 2 in Nicotiana benthamiana plant as a potential therapeutic target in COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Will there be a third COVID-19 wave? A SVEIRD model-based study of India’s situation
This article has 5 authors:Reviewed by ScreenIT
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CD147 antibody specifically and effectively inhibits infection and cytokine storm of SARS-CoV-2 and its variants delta, alpha, beta, and gamma
This article has 48 authors:Reviewed by ScreenIT
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Dear Watch, Should I Get a COVID-19 Test? Designing deployable machine learning for wearables
This article has 10 authors:Reviewed by ScreenIT
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Safety and Efficacy of NVX-CoV2373 Covid-19 Vaccine
This article has 45 authors: -
Early treatment of COVID-19 with anakinra guided by soluble urokinase plasminogen receptor plasma levels: a double-blind, randomized controlled phase 3 trial
This article has 64 authors:Reviewed by ScreenIT
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Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia
This article has 10 authors:Reviewed by ScreenIT
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Verification of SARS-CoV-2-Encoded small RNAs and contribution to Infection-Associated lung inflammation
This article has 12 authors:Reviewed by ScreenIT
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Occupation, work-related contact and SARS-CoV-2 anti-nucleocapsid serological status: findings from the Virus Watch prospective cohort study
This article has 15 authors:Reviewed by ScreenIT