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. COVID-19 mRNA Vaccination in Lactation: Assessment of Adverse Events and Vaccine Related Antibodies in Mother-Infant Dyads

    1. Yarden Golan
    2. Mary Prahl
    3. Arianna G. Cassidy
    4. Caryl Gay
    5. Alan H. B. Wu
    6. Unurzul Jigmeddagva
    7. Christine Y. Lin
    8. Veronica J. Gonzalez
    9. Emilia Basilio
    10. Megan A. Chidboy
    11. Lakshmi Warrier
    12. Sirirak Buarpung
    13. Lin Li
    14. Amy P. Murtha
    15. Ifeyinwa V. Asiodu
    16. Nadav Ahituv
    17. Valerie J. Flaherman
    18. Stephanie L. Gaw

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. An Assessment of Serological Assays for SARS-CoV-2 as Surrogates for Authentic Virus Neutralization

    1. Nicholas Wohlgemuth
    2. Kendall Whitt
    3. Sean Cherry
    4. Ericka Kirkpatrick Roubidoux
    5. Chun-Yang Lin
    6. Kim J. Allison
    7. Ashleigh Gowen
    8. Pamela Freiden
    9. E. Kaitlynn Allen
    10. St. Jude Investigative Team,
    11. Aditya H. Gaur
    12. Jeremie H. Estepp
    13. Li Tang
    14. Tomi Mori
    15. Diego R. Hijano
    16. Hana Hakim
    17. Maureen A. McGargill
    18. Florian Krammer
    19. Michael A. Whitt
    20. Joshua Wolf
    21. Paul G. Thomas
    22. Stacey Schultz-Cherry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Lessons Learned From the Resilience of Chinese Hospitals to the COVID-19 Pandemic: Scoping Review

    1. Jack Stennett
    2. Renyou Hou
    3. Lola Traverson
    4. Valéry Ridde
    5. Kate Zinszer
    6. Fanny Chabrol

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Knowledge barriers in a national symptomatic-COVID-19 testing programme

    1. Mark S. Graham
    2. Anna May
    3. Thomas Varsavsky
    4. Carole H. Sudre
    5. Benjamin Murray
    6. Kerstin Kläser
    7. Michela Antonelli
    8. Liane S. Canas
    9. Erika Molteni
    10. Marc Modat
    11. M. Jorge Cardoso
    12. David A. Drew
    13. Long H. Nguyen
    14. Benjamin Rader
    15. Christina Hu
    16. Joan Capdevila
    17. Alexander Hammers
    18. Andrew T. Chan
    19. Jonathan Wolf
    20. John S. Brownstein
    21. Tim D. Spector
    22. Sebastien Ourselin
    23. Claire J. Steves
    24. Christina M. Astley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Detection of SARS-CoV-2-Specific IgA in the Human Milk of COVID-19 Vaccinated Lactating Health Care Workers

    1. Vivian Valcarce
    2. Lauren Stewart Stafford
    3. Josef Neu
    4. Nicole Cacho
    5. Leslie Parker
    6. Martina Mueller
    7. David J. Burchfield
    8. Nan Li
    9. Joseph Larkin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe

    1. Mrinank Sharma
    2. Sören Mindermann
    3. Charlie Rogers-Smith
    4. Gavin Leech
    5. Benedict Snodin
    6. Janvi Ahuja
    7. Jonas B. Sandbrink
    8. Joshua Teperowski Monrad
    9. George Altman
    10. Gurpreet Dhaliwal
    11. Lukas Finnveden
    12. Alexander John Norman
    13. Sebastian B. Oehm
    14. Julia Fabienne Sandkühler
    15. Laurence Aitchison
    16. Tomáš Gavenčiak
    17. Thomas Mellan
    18. Jan Kulveit
    19. Leonid Chindelevitch
    20. Seth Flaxman
    21. Yarin Gal
    22. Swapnil Mishra
    23. Samir Bhatt
    24. Jan Markus Brauner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. No evidence for increased transmissibility from recurrent mutations in SARS-CoV-2

    1. Lucy van Dorp
    2. Damien Richard
    3. Cedric C. S. Tan
    4. Liam P. Shaw
    5. Mislav Acman
    6. François Balloux

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Factors informing healthcare workers’ willingness to work during the COVID-19 pandemic

    1. Marta Malesza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Experimental Evidence for Enhanced Receptor Binding by Rapidly Spreading SARS-CoV-2 Variants

    1. Charlie Laffeber
    2. Kelly de Koning
    3. Roland Kanaar
    4. Joyce H.G. Lebbink

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Introducing the 4Ps Model of Transitioning to Distance Learning: A convergent mixed methods study conducted during the COVID-19 pandemic

    1. Farah Otaki
    2. Shroque Zaher
    3. Stefan Du Plessis
    4. Ritu Lakhtakia
    5. Nabil Zary
    6. Ibrahim M. Inuwa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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