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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Omicron breakthrough infections in vaccinated or previously infected hamsters
This article has 11 authors:Reviewed by ScreenIT
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Structural basis for substrate selection by the SARS-CoV-2 replicase
This article has 19 authors:Reviewed by ScreenIT
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SARS-CoV-2 Infects Peripheral and Central Neurons Before Viremia, Facilitated by Neuropilin-1
This article has 13 authors:Reviewed by ScreenIT
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Revealing druggable cryptic pockets in the Nsp1 of SARS-CoV-2 and other β-coronaviruses by simulations and crystallography
This article has 9 authors:This article has been curated by 1 group: -
SARS-CoV-2 ORF1ab A1061S potentiate autoreactive T cell responses via epitope mimicry: an explanation to hepatitis of unknown cause
This article has 2 authors:Reviewed by ScreenIT
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A social media-based framework for quantifying temporal changes to wildlife viewing intensity: Case study of sea turtles before and during COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Assessing the knowledge and practices of primary healthcare workers on malaria diagnosis and related challenges in view of COVID-19 outbreak in a Nigerian Southwestern metropolis
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 Variants of Concern (VOC) Alpha, Beta, Gamma, Delta, and Omicron coincident with consecutive pandemic waves in Pakistan
This article has 14 authors:Reviewed by ScreenIT
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Association of Results of Four Lateral Flow Antibody Tests with Subsequent SARS-CoV-2 Infection
This article has 9 authors:Reviewed by ScreenIT
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Emergence of a Pseudomonas aeruginosa Hypermutator Strain During the Course of Ventilator-Associated Pneumonia
This article has 8 authors:Reviewed by ScreenIT