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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Effect of SARS-CoV-2 infection upon male gonadal function: A single center-based study
This article has 8 authors:Reviewed by ScreenIT
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Meplazumab treats COVID-19 pneumonia: an open-labelled, concurrent controlled add-on clinical trial
This article has 32 authors:Reviewed by ScreenIT
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Analysis of psychological state and clinical psychological intervention model of patients with COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Hypertension and Diabetes Delay the Viral Clearance in COVID-19 Patients
This article has 18 authors:Reviewed by ScreenIT
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A comparative multi-center study on the clinical and imaging features of confirmed and unconfirmed patients with COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Epidemiological parameters of coronavirus disease 2019: a pooled analysis of publicly reported individual data of 1155 cases from seven countries
This article has 9 authors:Reviewed by ScreenIT
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Myocardial injury is associated with in-hospital mortality of confirmed or suspected COVID-19 in Wuhan, China: A single center retrospective cohort study
This article has 17 authors:Reviewed by ScreenIT
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Using Early Data to Estimate the Actual Infection Fatality Ratio from COVID-19 in France
This article has 5 authors:Reviewed by ScreenIT
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Optimization of Microbiological Laboratory Detection Strategy for Patients in A Designated Hospital Treating Novel Coronavirus Pneumonia in Anhui Province
This article has 17 authors:Reviewed by ScreenIT
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Efficacy and Safety of Lopinavir/Ritonavir or Arbidol in Adult Patients with Mild/Moderate COVID-19: An Exploratory Randomized Controlled Trial
This article has 20 authors:Reviewed by ScreenIT