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 acceptance of a digital contact tracing application for COVID-19 in the Japanese working-age population
This article has 10 authors:Reviewed by ScreenIT
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Feasibility and lessons learned on remote trial implementation from TestBoston, a fully remote, longitudinal, large-scale COVID-19 surveillance study
This article has 18 authors:Reviewed by ScreenIT
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Label-Free Spectroscopic SARS-CoV-2 Detection on Versatile Nanoimprinted Substrates
This article has 6 authors:Reviewed by ScreenIT
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Measuring College Student Attitudes Toward COVID-19 Vaccinations
This article has 5 authors:Reviewed by ScreenIT
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Assessment of the fatality rate and transmissibility taking account of undetected cases during an unprecedented COVID-19 surge in Taiwan
This article has 4 authors:Reviewed by ScreenIT
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Vaccine-induced humoral response against SARS-CoV-2 dramatically declined but cellular immunity possibly remained at 6 months post BNT162b2 vaccination
This article has 10 authors:Reviewed by ScreenIT
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Trends in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Seroprevalence in Massachusetts Estimated from Newborn Screening Specimens
This article has 15 authors:Reviewed by ScreenIT
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Multiplex PCR Assays for Identifying all Major Severe Acute Respiratory Syndrome Coronavirus 2 Variants
This article has 7 authors:Reviewed by ScreenIT
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Occupation and Educational Attainment Characteristics Associated With COVID-19 Mortality by Race and Ethnicity in California
This article has 7 authors:Reviewed by ScreenIT
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Comparison of the immunogenicity of BNT162b2 and CoronaVac COVID ‐19 vaccines in Hong Kong
This article has 19 authors:Reviewed by ScreenIT