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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The fatty acid site is coupled to functional motifs in the SARS-CoV-2 spike protein and modulates spike allosteric behaviour
This article has 7 authors:Reviewed by ScreenIT
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Second-Generation Antibodies Neutralize Emerging SARS-CoV-2 Variants of Concern
This article has 33 authors:Reviewed by ScreenIT
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Development of low-cost serological immunoassay to detect antiviral antibodies to Sars-Cov-2 Spike protein
This article has 13 authors:Reviewed by ScreenIT
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Highly Specific Memory B Cells Generation after the 2nd Dose of BNT162b2 Vaccine Compensate for the Decline of Serum Antibodies and Absence of Mucosal IgA
This article has 35 authors:Reviewed by ScreenIT
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High-affinity, neutralizing antibodies to SARS-CoV-2 can be made without T follicular helper cells
This article has 23 authors:Reviewed by ScreenIT
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The Mental Health Impact of COVID-19 Racial and Ethnic Discrimination Against Asian American and Pacific Islanders
This article has 3 authors:Reviewed by ScreenIT
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Intranasal Administration of a Monoclonal Neutralizing Antibody Protects Mice against SARS-CoV-2 Infection
This article has 28 authors:Reviewed by ScreenIT
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DNA damage response at telomeres boosts the transcription of SARS‐CoV‐2 receptor ACE2 during aging
This article has 14 authors:Reviewed by ScreenIT
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Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19
This article has 5 authors:Reviewed by ScreenIT
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BNT162b2 mRNA vaccinations in Israel: understanding the impact and improving the vaccination policies by redefining the immunized population
This article has 5 authors:Reviewed by ScreenIT