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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Evaluation of SARS-CoV-2 viability on experimental surfaces over time
This article has 5 authors:Reviewed by ScreenIT
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When thinking you are better leads to feeling worse: Self-other asymmetries in pro-social behavior and increased anxiety during Covid-19
This article has 4 authors:Reviewed by ScreenIT
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Impact of the COVID-19 pandemic and response on the utilisation of health services in public facilities during the first wave in Kinshasa, the Democratic Republic of the Congo
This article has 10 authors:Reviewed by ScreenIT
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Use of portable air cleaners to reduce aerosol transmission on a hospital COVID-19 ward
This article has 16 authors:Reviewed by ScreenIT
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Human Basigin (CD147) Does Not Directly Interact with SARS-CoV-2 Spike Glycoprotein
This article has 14 authors:Reviewed by ScreenIT
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Suboptimal Response to Coronavirus Disease 2019 Messenger RNA Vaccines in Patients With Hematologic Malignancies: A Need for Vigilance in the Postmasking Era
This article has 5 authors:Reviewed by ScreenIT
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Automated production of research data marts from a canonical fast healthcare interoperability resource data repository: applications to COVID-19 research
This article has 7 authors:Reviewed by ScreenIT
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Variation in predicted COVID-19 risk among lemurs and lorises
This article has 34 authors:Reviewed by ScreenIT
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COVID-19 and the abrupt shift to remote learning: Impact on grades and perceived learning for undergraduate biology students
This article has 11 authors:Reviewed by ScreenIT
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Intranasal gene therapy to prevent infection by SARS-CoV-2 variants
This article has 15 authors:Reviewed by ScreenIT