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. Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

    1. Carly G.K. Ziegler
    2. Vincent N. Miao
    3. Anna H. Owings
    4. Andrew W. Navia
    5. Ying Tang
    6. Joshua D. Bromley
    7. Peter Lotfy
    8. Meredith Sloan
    9. Hannah Laird
    10. Haley B. Williams
    11. Micayla George
    12. Riley S. Drake
    13. Taylor Christian
    14. Adam Parker
    15. Campbell B. Sindel
    16. Molly W. Burger
    17. Yilianys Pride
    18. Mohammad Hasan
    19. George E. Abraham
    20. Michal Senitko
    21. Tanya O. Robinson
    22. Alex K. Shalek
    23. Sarah C. Glover
    24. Bruce H. Horwitz
    25. Jose Ordovas-Montanes

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  2. Day-night and seasonal variation of human gene expression across tissues

    1. Valentin Wucher
    2. Reza Sodaei
    3. Raziel Amador
    4. Manuel Irimia
    5. Roderic Guigó

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Negative consequences of failing to communicate uncertainties during a pandemic: an online randomised controlled trial on COVID-19 vaccines

    1. Eleonore Batteux
    2. Avri Bilovich
    3. Samuel G B Johnson
    4. David Tuckett

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Outcomes of COVID-19 infection in patients treated with Clozapine

    1. Risha Govind
    2. Daniela Fonseca de Freitas
    3. Megan Pritchard
    4. Mizanur Khondoker
    5. James T Teo
    6. Robert Stewart
    7. Richard D. Hayes
    8. James H. MacCabe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Rotavirus as an Expression Platform of Domains of the SARS-CoV-2 Spike Protein

    1. Asha Ann Philip
    2. John Thomas Patton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Decreased neutralization of SARS-CoV-2 global variants by therapeutic anti-spike protein monoclonal antibodies

    1. Takuya Tada
    2. Belinda M. Dcosta
    3. Hao Zhou
    4. Ada Vaill
    5. Wes Kazmierski
    6. Nathaniel R. Landau

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Performance evaluation of the Roche Elecsys Anti-SARS-CoV-2 S immunoassay

    1. Elena Riester
    2. Peter Findeisen
    3. J. Kolja Hegel
    4. Michael Kabesch
    5. Andreas Ambrosch
    6. Christopher M. Rank
    7. Florina Pessl
    8. Tina Laengin
    9. Christoph Niederhauser

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A human coronavirus evolves antigenically to escape antibody immunity

    1. Rachel T. Eguia
    2. Katharine H. D. Crawford
    3. Terry Stevens-Ayers
    4. Laurel Kelnhofer-Millevolte
    5. Alexander L. Greninger
    6. Janet A. Englund
    7. Michael J. Boeckh
    8. Jesse D. Bloom

    Reviewed by PREreview, ScreenIT, Review Commons

    6 evaluationsAppears in 4 listsLatest version Latest activity

  9. A combined strategy to detect plasma samples reliably with high anti-SARS-CoV-2 neutralizing antibody titers in routine laboratories

    1. Bastian Fischer
    2. Christoph Lichtenberg
    3. Lisa Müller
    4. Jörg Timm
    5. Johannes Fischer
    6. Cornelius Knabbe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Development and validation of a clinical and genetic model for predicting risk of severe COVID-19

    1. Gillian S. Dite
    2. Nicholas M. Murphy
    3. Richard Allman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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