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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Neutralizing Antibodies Correlate with Protection from SARS-CoV-2 in Humans during a Fishery Vessel Outbreak with a High Attack Rate
This article has 9 authors:Reviewed by ScreenIT
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Pain and Other Neurological Symptoms Are Present at 3 Months After Hospitalization in COVID-19 Patients
This article has 12 authors:Reviewed by ScreenIT
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Perceived risk and distress related to COVID-19 in healthcare versus non-healthcare workers of Pakistan: a cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
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National interest may require distributing COVID-19 vaccines to other countries
This article has 10 authors:Reviewed by ScreenIT
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Systematic evaluation of IgG responses to SARS-CoV-2 spike protein-derived peptides for monitoring COVID-19 patients
This article has 33 authors:Reviewed by ScreenIT
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Sensitive extraction-free SARS-CoV-2 RNA virus detection using a chelating resin
This article has 7 authors:Reviewed by ScreenIT
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Age Specific Months of Mortality (MOMa) from Endemic and Pandemic (Covid 19) diseases
This article has 1 author:Reviewed by ScreenIT
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COVID-19 Pandemic Among Immigrant Latinx Farmworker and Non-farmworker Families: A Rural–Urban Comparison of Economic, Educational, Healthcare, and Immigration Concerns
This article has 6 authors:Reviewed by ScreenIT
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Outcomes Evaluated in Controlled Clinical Trials on the Management of COVID-19: A Methodological Systematic Review
This article has 11 authors:Reviewed by ScreenIT
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SARS-CoV-2 IgG antibody responses in rt-PCR-positive cases: first report from India
This article has 12 authors:Reviewed by ScreenIT