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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HTCC as a highly effective polymeric inhibitor of SARS-CoV-2 and MERS-CoV
This article has 17 authors:Reviewed by ScreenIT
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Atlas of ACE2 gene expression reveals novel insights into transmission of SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Ad hoc laboratory-based surveillance of SARS-CoV-2 by real-time RT-PCR using minipools of RNA prepared from routine respiratory samples
This article has 14 authors:Reviewed by ScreenIT
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Evaluation of the awareness level of Healthcare workers toward NCOVID-2019 in Pakistan
This article has 9 authors:Reviewed by ScreenIT
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Pandemic Politics: Timing State-Level Social Distancing Responses to COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020: ARIMA Model with Machine Learning Approach
This article has 8 authors:Reviewed by ScreenIT
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The Novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Directly Decimates Human Spleens and Lymph Nodes
This article has 14 authors:Reviewed by ScreenIT
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A territory-wide study of early COVID-19 outbreak in Hong Kong community: A clinical, epidemiological and phylogenomic investigation
This article has 26 authors:Reviewed by ScreenIT
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The diagnostic evaluation of Convolutional Neural Network (CNN) for the assessment of chest X-ray of patients infected with COVID-19
This article has 4 authors:Reviewed by ScreenIT
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Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach
This article has 12 authors:Reviewed by ScreenIT