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.

About Followers

Latest preprint reviews

  1. Changes Over Time in COVID-19 Vaccination Inequalities in Eight Large U.S. Cities

    1. S. Michael Gaddis
    2. Colleen M. Carey
    3. Nicholas V. DiRago

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Macaque-human differences in SARS-CoV-2 Spike antibody response elicited by vaccination or infection

    1. Alexandra C. Willcox
    2. Kevin Sung
    3. Meghan E. Garrett
    4. Jared G. Galloway
    5. Megan A. O’Connor
    6. Jesse H. Erasmus
    7. Jennifer K. Logue
    8. David W. Hawman
    9. Helen Y. Chu
    10. Kim J. Hasenkrug
    11. Deborah H. Fuller
    12. Frederick A. Matsen
    13. Julie Overbaugh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS-CoV-2 variants impact RBD conformational dynamics and ACE2 accessibility

    1. Mariana Valério
    2. Luís Borges-Araújo
    3. Manuel N. Melo
    4. Diana Lousa
    5. Cláudio M. Soares

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 Delta and delta derivatives impact on neutralization of Covishield recipient sera

    1. Rima R. Sahay
    2. Deepak Y. Patil
    3. Gajanan N. Sapkal
    4. Gururaj R. Deshpande
    5. Anita M. Shete
    6. Dimpal A. Nyayanit
    7. Sanjay Kumar
    8. Pragya D. Yadav

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Medical students’ perceptions of learning and working on the COVID-19 frontlines: ‘… a confirmation that I am in the right place professionally’

    1. Jennifer M. Klasen
    2. Zoe Schoenbaechler
    3. Bryce J. M. Bogie
    4. Andrea Meienberg
    5. Christian Nickel
    6. Roland Bingisser
    7. Kori LaDonna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Variance in Variants: Propagating Genome Sequence Uncertainty into Phylogenetic Lineage Assignment

    1. David Champredon
    2. Devan Becker
    3. Connor Chato
    4. Gopi Gugan
    5. Art Poon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Individual-level precision diagnosis for coronavirus disease 2019 related severe outcome: an early study in New York

    1. Chaorui C. Huang
    2. Hong Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A simple model of COVID-19 explains disease severity and the effect of treatments

    1. Steven Sanche
    2. Tyler Cassidy
    3. Pinghan Chu
    4. Alan S. Perelson
    5. Ruy M. Ribeiro
    6. Ruian Ke

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Investigating the human host - ssRNA virus interaction landscape using the SMEAGOL toolbox

    1. Avantika Lal
    2. Mariana Galvao Ferrarini
    3. Andreas J. Gruber

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. SARS-COV-2 INFECTION IN PRIMARY CARE: A SINGLE-CENTERED, RETROSPECTIVE, OBSERVATIONAL STUDY

    1. Pilar Galicia García de Yébenes
    2. Juan José Gutiérrez Cuevas
    3. Fang Fang Chen Chen
    4. Laura Santos Larrégola
    5. Alberto Manzanares Briega
    6. Manuel Linares Rufo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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