ScreenIT
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 Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data
This article has 20 authors:Reviewed by ScreenIT
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Supporting COVID-19 Policy-Making with a Predictive Epidemiological Multi-Model Warning System
This article has 9 authors:Reviewed by ScreenIT
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Structural basis for bivalent binding and inhibition of SARS-CoV-2 infection by human potent neutralizing antibodies
This article has 25 authors:Reviewed by ScreenIT
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Bi-paratopic and multivalent human VH domains neutralize SARS-CoV-2 by targeting distinct epitopes within the ACE2 binding interface of Spike
This article has 16 authors:Reviewed by ScreenIT
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Persistent COVID-19 Symptoms Minimally Impact the Development of SARS-CoV-2-Specific T Cell Immunity
This article has 8 authors:Reviewed by ScreenIT
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Gender, Race and Parenthood Impact Academic Productivity During the COVID-19 Pandemic: From Survey to Action
This article has 17 authors: -
Identification of a Novel Susceptibility Marker for SARS-CoV-2 Infection in Human Subjects and Risk Mitigation with a Clinically Approved JAK Inhibitor in Human/Mouse Cells
This article has 12 authors:Reviewed by ScreenIT
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Inclusive Costs of NPI Measures for COVID-19 Pandemic: Three Approaches
This article has 1 author:Reviewed by ScreenIT
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Epidemiological investigation of the first 5685 cases of SARS-CoV-2 infection in Qatar, 28 February–18 April 2020
This article has 16 authors:Reviewed by ScreenIT
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Delayed clearance of SARS-CoV2 in male compared to female patients: High ACE2 expression in testes suggests possible existence of gender-specific viral reservoirs
This article has 10 authors:Reviewed by ScreenIT