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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We couldn't get details of this article at this time:
10.1101/2020.06.21.20132944 -
We couldn't get details of this article at this time:
10.1101/2020.06.21.20136598 -
Behavioral changes before lockdown and decreased retail and recreation mobility during lockdown contributed most to controlling COVID-19 in Western countries
This article has 4 authors:Reviewed by ScreenIT
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We couldn't get details of this article at this time:
10.1101/2020.06.21.20136705 -
Estimation of undetected symptomatic and asymptomatic cases of COVID‐19 infection and prediction of its spread in the USA
This article has 3 authors:Reviewed by ScreenIT
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We couldn't get details of this article at this time:
10.1101/2020.06.20.20136325 -
We couldn't get details of this article at this time:
10.1101/2020.06.18.156851 -
Functional characterization of SARS-CoV-2 infection suggests a complex inflammatory response and metabolic alterations
This article has 12 authors:Reviewed by ScreenIT
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In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age
This article has 15 authors:Reviewed by ScreenIT
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We couldn't get details of this article at this time:
10.1101/2020.06.22.133355