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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Factors associated with increased mortality in critically ill COVID-19 patients in a Mexican public hospital: the other faces of health system oversaturation
This article has 11 authors:Reviewed by ScreenIT
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Geographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States
This article has 6 authors:Reviewed by ScreenIT
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Comprehensive assessment of humoral response after Pfizer BNT162b2 mRNA Covid-19 vaccination: a three-case series
This article has 9 authors:Reviewed by ScreenIT
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Celastrol: A lead compound that inhibits SARS‐CoV‐2 replication, the activity of viral and human cysteine proteases, and virus‐induced IL‐6 secretion
This article has 15 authors:Reviewed by ScreenIT
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Perceived Social Support and Sustained Physical Activity During the COVID-19 Pandemic
This article has 4 authors:Reviewed by ScreenIT
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The SARS-CoV-2 Transcriptome and the Dynamics of the S Gene Furin Cleavage Site in Primary Human Airway Epithelia
This article has 9 authors:Reviewed by ScreenIT
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Evaluation of a New Spike (S)-Protein-Based Commercial Immunoassay for the Detection of Anti-SARS-CoV-2 IgG
This article has 17 authors:Reviewed by ScreenIT
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Just 2% of SARS-CoV-2−positive individuals carry 90% of the virus circulating in communities
This article has 25 authors:Reviewed by ScreenIT
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Network controllability enrichment analysis reveals that SARS-CoV-2 infection tends to target indispensable nodes of a directed human protein-protein interaction network
This article has 1 author:Reviewed by ScreenIT
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Changes in Eating Habits and Lifestyles in a Peruvian Population during Social Isolation for the COVID-19 Pandemic
This article has 8 authors:Reviewed by ScreenIT