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. Mental Health Status among the South Indian Pharmacy Students during Covid-19 Pandemic’s Quarantine Period: A Cross-Sectional Study

    1. S Vidyadhara
    2. A Chakravarthy
    3. A Pramod Kumar
    4. C Sri Harsha
    5. R Rahul

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Characteristics and outcomes of pregnant women admitted to hospital with confirmed SARS-CoV-2 infection in UK: national population based cohort study

    1. Marian Knight
    2. Kathryn Bunch
    3. Nicola Vousden
    4. Edward Morris
    5. Nigel Simpson
    6. Chris Gale
    7. Patrick O’Brien
    8. Maria Quigley
    9. Peter Brocklehurst
    10. Jennifer J Kurinczuk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Systematic review and meta-analysis of the effectiveness and safety of hydroxychloroquine in treating COVID-19 patients

    1. Tzu-Han Yang
    2. Chian-Ying Chou
    3. Yi-Fan Yang
    4. Chian-Shiu Chien
    5. Aliaksandr A. Yarmishyn
    6. Tzu-Ying Yang
    7. Cheng-Hsuan Liu
    8. Kao-Jung Chang
    9. Yi-Ping Yang
    10. Yuh-Lih Chang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A Research on the Results of Viral Nucleic Acid Tests and CT Imaging Variation of Patients with COVID-19

    1. Meng Xu
    2. Xun Liu
    3. Chuhong Su
    4. Yuping Zeng
    5. Jinqian Zhang
    6. Xuwen Li
    7. Guirong Liu
    8. Jinjun Xie
    9. Hongyong Liu
    10. Yusheng Jie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Significant relaxation of SARS-CoV-2-targeted non-pharmaceutical interventions may result in profound mortality: A New York state modelling study

    1. Benjamin U. Hoffman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Potent neutralizing antibodies from COVID-19 patients define multiple targets of vulnerability

    1. Philip J.M. Brouwer
    2. Tom G. Caniels
    3. Karlijn van der Straten
    4. Jonne L. Snitselaar
    5. Yoann Aldon
    6. Sandhya Bangaru
    7. Jonathan L. Torres
    8. Nisreen M.A. Okba
    9. Mathieu Claireaux
    10. Gius Kerster
    11. Arthur E.H. Bentlage
    12. Marlies M. van Haaren
    13. Denise Guerra
    14. Judith A. Burger
    15. Edith E. Schermer
    16. Kirsten D. Verheul
    17. Niels van der Velde
    18. Alex van der Kooi
    19. Jelle van Schooten
    20. Mariëlle J. van Breemen
    21. Tom P. L. Bijl
    22. Kwinten Sliepen
    23. Aafke Aartse
    24. Ronald Derking
    25. Ilja Bontjer
    26. Neeltje A. Kootstra
    27. W. Joost Wiersinga
    28. Gestur Vidarsson
    29. Bart L. Haagmans
    30. Andrew B. Ward
    31. Godelieve J. de Bree
    32. Rogier W. Sanders
    33. Marit J. van Gils

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Potential antiviral options against SARS-CoV-2 infection

    1. Aleksandr Ianevski
    2. Rouan Yao
    3. Mona Høysæter Fenstad
    4. Svetlana Biza
    5. Eva Zusinaite
    6. Tuuli Reisberg
    7. Hilde Lysvand
    8. Kirsti Løseth
    9. Veslemøy Malm Landsem
    10. Janne Fossum Malmring
    11. Valentyn Oksenych
    12. Sten Even Erlandsen
    13. Per Arne Aas
    14. Lars Hagen
    15. Caroline H. Pettersen
    16. Tanel Tenson
    17. Jan Egil Afset
    18. Svein Arne Nordbø
    19. Magnar Bjørås
    20. Denis E. Kainov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Static All-Atom Energetic Mappings of the SARS-Cov-2 Spike Protein with Potential Latch Identification of the Down State Protomer

    1. Michael H. Peters
    2. Oscar Bastidas
    3. Daniel S. Kokron
    4. Christopher Henze

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Children’s Hospital Los Angeles COVID-19 Analysis Research Database (CARD) - A Resource for Rapid SARS-CoV-2 Genome Identification Using Interactive Online Phylogenetic Tools

    1. Lishuang Shen
    2. Dennis Maglinte
    3. Dejerianne Ostrow
    4. Utsav Pandey
    5. Moiz Bootwalla
    6. Alex Ryutov
    7. Ananthanarayanan Govindarajan
    8. David Ruble
    9. Jennifer Han
    10. Timothy J. Triche
    11. Jennifer Dien Bard
    12. Jaclyn A. Biegel
    13. Alexander R. Judkins
    14. Xiaowu Gai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Mutation landscape of SARS-CoV-2 reveals five mutually exclusive clusters of leading and trailing single nucleotide substitutions

    1. Akhilesh Mishra
    2. Ashutosh Kumar Pandey
    3. Parul Gupta
    4. Prashant Pradhan
    5. Sonam Dhamija
    6. James Gomes
    7. Bishwajit Kundu
    8. Perumal Vivekanandan
    9. Manoj B. Menon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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