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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An Extended Susceptible-Exposed-Infected-Recovered (SEIR) Model with Vaccination for Predicting the COVID-19 Pandemic in Sri Lanka
This article has 8 authors:Reviewed by ScreenIT
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Acceptability, Usability, and Performance of Lateral Flow Immunoassay Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies: REACT-2 Study of Self-Testing in Nonhealthcare Key Workers
This article has 14 authors:Reviewed by ScreenIT
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SARS-CoV-2 spike RBD and nucleocapsid encoding DNA vaccine elicits T cell and neutralising antibody responses that cross react with variants
This article has 24 authors:Reviewed by ScreenIT
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Date of introduction and epidemiologic patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Mogadishu, Somalia: estimates from transmission modelling of satellite-based excess mortality data in 2020
This article has 14 authors:Reviewed by ScreenIT
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Two-month follow-up of persons with SARS-CoV-2 Infection-Zambia, September 2020: a cohort study
This article has 16 authors:Reviewed by ScreenIT
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Mental disorder symptoms during the COVID-19 pandemic in Latin America – a systematic review and meta-analysis
This article has 13 authors:Reviewed by ScreenIT
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Unsupervised classification of SARS-CoV-2 genomic sequences uncovers hidden genetic diversity and suggests an efficient strategy for genomic surveillance
This article has 5 authors:Reviewed by ScreenIT
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Mapping the host protein interactome of non-coding regions in SARS-CoV-2 genome
This article has 10 authors:Reviewed by ScreenIT
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Automated, miniaturized, and scalable screening of healthcare workers, first responders, and students for SARS-CoV-2 in San Diego County
This article has 111 authors:Reviewed by ScreenIT
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One viral sequence for each host? – The neglected within-host diversity as the main stage of SARS-CoV-2 evolution
This article has 11 authors:Reviewed by ScreenIT