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. Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome

    1. Ivayla Roberts
    2. Marina Wright Muelas
    3. Joseph M. Taylor
    4. Andrew S. Davison
    5. Yun Xu
    6. Justine M. Grixti
    7. Nigel Gotts
    8. Anatolii Sorokin
    9. Royston Goodacre
    10. Douglas B. Kell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Rapid increase of Care Homes reporting outbreaks a sign of eventual substantial disease burden

    1. Ian Hall
    2. Hugo Lewkowicz
    3. Thomas House
    4. Lorenzo Pellis
    5. James Sedgwick
    6. Nick Gent

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) Antibody Responses in Children With Multisystem Inflammatory Syndrome in Children (MIS-C) and Mild and Severe Coronavirus Disease 2019 (COVID-19)

    1. Elizabeth M Anderson
    2. Caroline Diorio
    3. Eileen C Goodwin
    4. Kevin O McNerney
    5. Madison E Weirick
    6. Sigrid Gouma
    7. Marcus J Bolton
    8. Claudia P Arevalo
    9. Julie Chase
    10. Philip Hicks
    11. Tomaz B Manzoni
    12. Amy E Baxter
    13. Kurt P Andrea
    14. Chakkapong Burudpakdee
    15. Jessica H Lee
    16. Laura A Vella
    17. Sarah E Henrickson
    18. Rebecca M Harris
    19. E John Wherry
    20. Paul Bates
    21. Hamid Bassiri
    22. Edward M Behrens
    23. David T Teachey
    24. Scott E Hensley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A cell-free nanobody engineering platform rapidly generates SARS-CoV-2 neutralizing nanobodies

    1. Xun Chen
    2. Matteo Gentili
    3. Nir Hacohen
    4. Aviv Regev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Factors associated with COVID-19-related death using OpenSAFELY

    1. Elizabeth J. Williamson
    2. Alex J. Walker
    3. Krishnan Bhaskaran
    4. Seb Bacon
    5. Chris Bates
    6. Caroline E. Morton
    7. Helen J. Curtis
    8. Amir Mehrkar
    9. David Evans
    10. Peter Inglesby
    11. Jonathan Cockburn
    12. Helen I. McDonald
    13. Brian MacKenna
    14. Laurie Tomlinson
    15. Ian J. Douglas
    16. Christopher T. Rentsch
    17. Rohini Mathur
    18. Angel Y. S. Wong
    19. Richard Grieve
    20. David Harrison
    21. Harriet Forbes
    22. Anna Schultze
    23. Richard Croker
    24. John Parry
    25. Frank Hester
    26. Sam Harper
    27. Rafael Perera
    28. Stephen J. W. Evans
    29. Liam Smeeth
    30. Ben Goldacre

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Comparative evaluation of six immunoassays for the detection of antibodies against SARS-CoV-2

    1. Felipe Pérez-García
    2. Ramón Pérez-Tanoira
    3. María Esther Iglesias
    4. Juan Romanyk
    5. Teresa Arroyo
    6. Peña Gómez-Herruz
    7. Rosa González
    8. Sara Lapeña García
    9. Juan Cuadros-González

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Correlation of national and healthcare workers COVID-19 infection data; implications for large-scale viral testing programs

    1. Dan Wu
    2. Pól Mac Aonghusa
    3. Donal F. O’Shea

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Discordant neutralizing antibody and T cell responses in asymptomatic and mild SARS-CoV-2 infection

    1. Catherine J. Reynolds
    2. Leo Swadling
    3. Joseph M. Gibbons
    4. Corinna Pade
    5. Melanie P. Jensen
    6. Mariana O. Diniz
    7. Nathalie M. Schmidt
    8. David K. Butler
    9. Oliver E. Amin
    10. Sasha N. L. Bailey
    11. Sam M. Murray
    12. Franziska P. Pieper
    13. Stephen Taylor
    14. Jessica Jones
    15. Meleri Jones
    16. Wing-Yiu Jason Lee
    17. Joshua Rosenheim
    18. Aneesh Chandran
    19. George Joy
    20. Cecilia Di Genova
    21. Nigel Temperton
    22. Jonathan Lambourne
    23. Teresa Cutino-Moguel
    24. Mervyn Andiapen
    25. Marianna Fontana
    26. Angelique Smit
    27. Amanda Semper
    28. Ben O’Brien
    29. Benjamin Chain
    30. Tim Brooks
    31. Charlotte Manisty
    32. Thomas Treibel
    33. James C. Moon
    34. COVIDsortium investigators
    35. Mahdad Noursadeghi
    36. COVIDsortium immune correlates network
    37. Daniel M. Altmann
    38. Mala K. Maini
    39. Áine McKnight
    40. Rosemary J. Boyton

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  9. Covid-19 Cases in India: A Visual Exploratory Data Analysis Model

    1. S Jayesh
    2. Shilpa Sreedharan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings

    1. Brian Cleary
    2. James A. Hay
    3. Brendan Blumenstiel
    4. Maegan Harden
    5. Michelle Cipicchio
    6. Jon Bezney
    7. Brooke Simonton
    8. David Hong
    9. Madikay Senghore
    10. Abdul K. Sesay
    11. Stacey Gabriel
    12. Aviv Regev
    13. Michael J. Mina

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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