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. Projected ICU and Mortuary load due to COVID-19 in Sydney

    1. Andrew Francis
    2. Yi Guo
    3. Paul Hurley
    4. Oliver Obst
    5. Laurence Park
    6. Mark Tanaka
    7. Russell Thomson
    8. X. Rosalind Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19 in rheumatic diseases: A random cross-sectional telephonic survey

    1. Rudra Prosad Goswami
    2. Uma Kumar
    3. Maumita Kanjilal
    4. Debaditya Ray
    5. Pallavi Vij
    6. Dheeraj K Mittal
    7. Laxman Meena
    8. Sandeep Nagar
    9. Danveer Bhadu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. In vitro infection of human lung tissue with SARS-CoV-2: Heterogeneity in host defense and therapeutic response

    1. Matthew A. Schaller
    2. Yamini Sharma
    3. Zadia Dupee
    4. Duy Nguyen
    5. Juan Uruena
    6. Ryan Smolchek
    7. Julia C. Loeb
    8. Tiago N. Machuca
    9. John A. Lednicky
    10. David J. Odde
    11. Robert F. Campbell
    12. W. Gregory Sawyer
    13. Borna Mehrad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Direct and indirect evidence of efficacy and safety of rapid exercise tests for exertional desaturation in Covid-19: a rapid systematic review

    1. Asli Kalin
    2. Babak Javid
    3. Matthew Knight
    4. Matt Inada-Kim
    5. Trisha Greenhalgh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Early prediction of COVID‐19 severity using extracellular vesicle COPB2

    1. Yu Fujita
    2. Tokio Hoshina
    3. Juntaro Matsuzaki
    4. Yusuke Yoshioka
    5. Tsukasa Kadota
    6. Yusuke Hosaka
    7. Shota Fujimoto
    8. Hironori Kawamoto
    9. Naoaki Watanabe
    10. Kenji Sawaki
    11. Yohei Sakamoto
    12. Makiko Miyajima
    13. Kwangyole Lee
    14. Kazuhiko Nakaharai
    15. Tetsuya Horino
    16. Ryo Nakagawa
    17. Jun Araya
    18. Mitsuru Miyato
    19. Masaki Yoshida
    20. Kazuyoshi Kuwano
    21. Takahiro Ochiya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Risk Factors for COVID-19-associated hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System

    1. Jean Y. Ko
    2. Melissa L. Danielson
    3. Machell Town
    4. Gordana Derado
    5. Kurt J. Greenlund
    6. Pam Daily Kirley
    7. Nisha B. Alden
    8. Kimberly Yousey-Hindes
    9. Evan J. Anderson
    10. Patricia A. Ryan
    11. Sue Kim
    12. Ruth Lynfield
    13. Salina M. Torres
    14. Grant R. Barney
    15. Nancy M. Bennett
    16. Melissa Sutton
    17. H. Keipp Talbot
    18. Mary Hill
    19. Aron J. Hall
    20. Alicia M. Fry
    21. Shikha Garg
    22. Lindsay Kim
    23. COVID-NET Investigation Group

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. A Stochastic Kinetic Type Reactions Model for COVID-19

    1. Giorgio Sonnino
    2. Fernando Mora
    3. Pasquale Nardone

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Single cell resolution of SARS-CoV-2 tropism, antiviral responses, and susceptibility to therapies in primary human airway epithelium

    1. Jessica K. Fiege
    2. Joshua M. Thiede
    3. Hezkiel Arya Nanda
    4. William E. Matchett
    5. Patrick J. Moore
    6. Noe Rico Montanari
    7. Beth K. Thielen
    8. Jerry Daniel
    9. Emma Stanley
    10. Ryan C. Hunter
    11. Vineet D. Menachery
    12. Steven S. Shen
    13. Tyler D. Bold
    14. Ryan A. Langlois

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Cardiac SARS-CoV-2 infection is associated with pro-inflammatory transcriptomic alterations within the heart

    1. Hanna Bräuninger
    2. Bastian Stoffers
    3. Antonia D E Fitzek
    4. Kira Meißner
    5. Ganna Aleshcheva
    6. Michaela Schweizer
    7. Jessica Weimann
    8. Björn Rotter
    9. Svenja Warnke
    10. Carolin Edler
    11. Fabian Braun
    12. Kevin Roedl
    13. Katharina Scherschel
    14. Felicitas Escher
    15. Stefan Kluge
    16. Tobias B Huber
    17. Benjamin Ondruschka
    18. Heinz-Peter Schultheiss
    19. Paulus Kirchhof
    20. Stefan Blankenberg
    21. Klaus Püschel
    22. Dirk Westermann
    23. Diana Lindner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The impact of traffic isolation in Wuhan on the spread of 2019-nCov

    1. Gehui Jin
    2. Jiayu Yu
    3. Liyuan Han
    4. Shiwei Duan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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