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. "Repurposed Nystatin to Inhibit SARS-Cov-2 and Mutants in the GI Tract"

    1. Eszter Virág

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Effect of remdesivir on viral dynamics in COVID-19 hospitalized patients: a modelling analysis of the randomized, controlled, open-label DisCoVeRy trial

    1. Guillaume Lingas
    2. Nadège Néant
    3. Alexandre Gaymard
    4. Drifa Belhadi
    5. Gilles Peytavin
    6. Maya Hites
    7. Thérèse Staub
    8. Richard Greil
    9. Jose-Artur Paiva
    10. Julien Poissy
    11. Nathan Peiffer-Smadja
    12. Dominique Costagliola
    13. Yazdan Yazdanpanah
    14. Florent Wallet
    15. Amandine Gagneux-Brunon
    16. France Mentré
    17. Florence Ader
    18. Charles Burdet
    19. Jérémie Guedj
    20. Maude Bouscambert-Duchamp

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS-COV-2 C.1.2 variant is highly mutated but may possess reduced affinity for ACE2 receptor

    1. Xiang-Jiao Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Durability of Antibody Response and Frequency of SARS-CoV-2 Infection 6 Months after COVID-19 Vaccination in Healthcare Workers

    1. Eric D. Laing
    2. Carol D. Weiss
    3. Emily C. Samuels
    4. Si’Ana A. Coggins
    5. Wei Wang
    6. Richard Wang
    7. Russell Vassell
    8. Spencer L. Sterling
    9. Marana S. Tso
    10. Tonia Conner
    11. Emilie Goguet
    12. Matthew Moser
    13. Belinda M. Jackson-Thompson
    14. Luca Illinik
    15. Julian Davies
    16. Orlando Ortega
    17. Edward Parmelee
    18. Monique Hollis-Perry
    19. Santina E. Maiolatesi
    20. Gregory Wang
    21. Kathleen F. Ramsey
    22. Anatalio E. Reyes
    23. Yolanda Alcorta
    24. Mimi A. Wong
    25. Alyssa R. Lindrose
    26. Christopher A. Duplessis
    27. David R. Tribble
    28. Allison M.W. Malloy
    29. Timothy H. Burgess
    30. Simon D. Pollett
    31. Cara H. Olsen
    32. Christopher C. Broder
    33. Edward Mitre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Antibody-mediated broad sarbecovirus neutralization through ACE2 molecular mimicry

    1. Young-Jun Park
    2. Anna De Marco
    3. Tyler N. Starr
    4. Zhuoming Liu
    5. Dora Pinto
    6. Alexandra C. Walls
    7. Fabrizia Zatta
    8. Samantha K. Zepeda
    9. John E. Bowen
    10. Kaitlin R. Sprouse
    11. Anshu Joshi
    12. Martina Giurdanella
    13. Barbara Guarino
    14. Julia Noack
    15. Rana Abdelnabi
    16. Shi-Yan Caroline Foo
    17. Laura E. Rosen
    18. Florian A. Lempp
    19. Fabio Benigni
    20. Gyorgy Snell
    21. Johan Neyts
    22. Sean P. J. Whelan
    23. Herbert W. Virgin
    24. Jesse D. Bloom
    25. Davide Corti
    26. Matteo Samuele Pizzuto
    27. David Veesler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. SEIRDQ: A COVID-19 case projection modeling framework using ANN to model quarantine

    1. Harish Chandra
    2. Arman Margaryan
    3. Xianwei Meng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Shared genomic architectures of COVID-19 and antisocial behavior

    1. Charleen D. Adams
    2. Jorim J. Tielbeek
    3. Brian B. Boutwell
    4. Broad Antisocial Behavior Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SARS-COV-2 γ variant acquires spike P681H or P681R for improved viral fitness

    1. Xiang-Jiao Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19 is associated with higher risk of venous thrombosis, but not arterial thrombosis, compared with influenza: Insights from a large US cohort

    1. Andrew Ward
    2. Ashish Sarraju
    3. Donghyun Lee
    4. Kanchan Bhasin
    5. Sanchit Gad
    6. Rob Beetel
    7. Stella Chang
    8. Mac Bonafede
    9. Fatima Rodriguez
    10. Rajesh Dash

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Assessing the transition of COVID-19 burden towards the young population while vaccines are rolled out in China*

    1. Jun Cai
    2. Juan Yang
    3. Xiaowei Deng
    4. Cheng Peng
    5. Xinhua Chen
    6. Qianhui Wu
    7. Hengcong Liu
    8. Juanjuan Zhang
    9. Wen Zheng
    10. Junyi Zou
    11. Zeyao Zhao
    12. Marco Ajelli
    13. Hongjie Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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