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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Coronavirus disease 2019 and first-trimester spontaneous abortion: a case-control study of 225 pregnant patients
This article has 11 authors:Reviewed by ScreenIT
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Prevalence and predictors of death and severe disease in patients hospitalized due to COVID-19: A comprehensive systematic review and meta-analysis of 77 studies and 38,000 patients
This article has 4 authors:Reviewed by ScreenIT
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Estimating the Proportion of COVID-19 Contacts Among Households Based on Individuals With Myocardial Infarction History: Cross-sectional Telephone Survey
This article has 8 authors:Reviewed by ScreenIT
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SARS-CoV-2 RT-PCR profile in 298 Indian COVID-19 patients: a retrospective observational study
This article has 15 authors:Reviewed by ScreenIT
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Design and Multicenter Clinical Validation of a 3-Dimensionally Printed Nasopharyngeal Swab for SARS-CoV-2 Testing
This article has 30 authors:Reviewed by ScreenIT
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Epidemiological description and analysis of RdRp, E and N genes dynamic by RT-PCR of SARS-CoV-2 in Moroccan population: Experience of the National Reference Laboratory (LNR)-UM6SS
This article has 17 authors:Reviewed by ScreenIT
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Sensitivity of RT-PCR testing of upper respiratory tract samples for SARS-CoV-2 in hospitalised patients: a retrospective cohort study
This article has 14 authors:Reviewed by ScreenIT
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Modeling quantitative traits for COVID-19 case reports
This article has 6 authors:Reviewed by ScreenIT
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The immediate psychological response of the general population in Saudi Arabia during COVID-19 pandemic: A cross-sectional study
This article has 4 authors:Reviewed by ScreenIT
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The support needs of Australian primary health care nurses during the COVID‐19 pandemic
This article has 7 authors:Reviewed by ScreenIT