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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Critical Mobility, a practical criterion and early indicator for regional COVID-19 resurgence
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 IgG seroprevalence in healthcare workers and other staff at North Bristol NHS Trust: A sociodemographic analysis
This article has 5 authors:Reviewed by ScreenIT
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Implementation of an in-house real-time reverse transcription-PCR assay to detect the emerging SARS-CoV-2 N501Y variants
This article has 5 authors:Reviewed by ScreenIT
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Low serum neutralizing anti-SARS-CoV-2 S antibody levels in mildly affected COVID-19 convalescent patients revealed by two different detection methods
This article has 22 authors:Reviewed by ScreenIT
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Mathematical Parameters of the COVID-19 Epidemic in Brazil and Evaluation of the Impact of Different Public Health Measures
This article has 3 authors:Reviewed by ScreenIT
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Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse
This article has 9 authors:Reviewed by ScreenIT
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Magnitude, change over time, demographic characteristics and geographic distribution of excess deaths among nursing home residents during the first wave of COVID-19 in France: a nationwide cohort study
This article has 8 authors:Reviewed by ScreenIT
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Time use and mental health in UK adults during an 11-week COVID-19 lockdown: a panel analysis
This article has 4 authors:Reviewed by ScreenIT
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Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation
This article has 6 authors:Reviewed by ScreenIT
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Impact of COVID-19 epidemic curtailment strategies in selected Indian states: An analysis by reproduction number and doubling time with incidence modelling
This article has 4 authors:Reviewed by ScreenIT