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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Prevalence and incidence of antibodies against SARS-CoV-2 among primary healthcare providers in Belgium during 1 year of the COVID-19 epidemic: prospective cohort study protocol
This article has 13 authors:Reviewed by ScreenIT
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Progression and Resolution of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in Golden Syrian Hamsters
This article has 47 authors:Reviewed by ScreenIT
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Early but not late convalescent plasma is associated with better survival in moderate-to-severe COVID-19
This article has 11 authors:Reviewed by ScreenIT
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COVID-19 transmission dynamics underlying epidemic waves in Kenya
This article has 33 authors:Reviewed by ScreenIT
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Discovery of SARS-CoV-2 M pro Peptide Inhibitors from Modelling Substrate and Ligand Binding
This article has 27 authors:Reviewed by ScreenIT
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Long Term Health Consequences of COVID-19 in Hospitalized Patients from North India: A follow up study of upto 12 months
This article has 21 authors:Reviewed by ScreenIT
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Use of HFNC in COVID-19 patients in non-ICU setting: Experience from a tertiary referral centre of north India and a systematic review of literature
This article has 13 authors:Reviewed by ScreenIT
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Association of Pregnancy With Coronavirus Cytokine Storm: Systematic Review and Meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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Pulmonary Thromboembolism in Patients After COVID-19: Predictive Indicators for Correct Diagnosis
This article has 7 authors:Reviewed by ScreenIT
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The real COVID-19 pandemic dynamics in Qatar in 2021: simulations, predictions and verifications of the SIR model
This article has 1 author:Reviewed by ScreenIT