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. SARS-CoV-2 reinfection in patients negative for immunoglobulin G following recovery from COVID-19

    1. A.M. Ali
    2. K.M. Ali
    3. M.H. Fatah
    4. H.M. Tawfeeq
    5. H.M. Rostam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. OpenSAFELY: impact of national guidance on switching anticoagulant therapy during COVID-19 pandemic

    1. The OpenSAFELY Collaborative
    2. Helen J Curtis
    3. Brian MacKenna
    4. Alex J Walker
    5. Richard Croker
    6. Amir Mehrkar
    7. Caroline Morton
    8. Seb Bacon
    9. George Hickman
    10. Peter Inglesby
    11. Chris Bates
    12. David Evans
    13. Tom Ward
    14. Jonathan Cockburn
    15. Simon Davy
    16. Krishnan Bhaskaran
    17. Anna Schultze
    18. Christopher T Rentsch
    19. Elizabeth Williamson
    20. William Hulme
    21. Laurie Tomlinson
    22. Rohini Mathur
    23. Henry Drysdale
    24. Rosalind M Eggo
    25. Angel Yun Wong
    26. Harriet Forbes
    27. John Parry
    28. Frank Hester
    29. Sam Harper
    30. Ian Douglas
    31. Liam Smeeth
    32. Ben Goldacre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. On the anti-correlation between COVID-19 infection rate and natural UV light in the UK

    1. Arnon Blum
    2. Constantina Nicolaou
    3. Ben Henghes
    4. Ofer Lahav

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Data Mining Approach to Analyze Covid19 Dataset of Brazilian Patients

    1. Josimar Chire

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Contraceptive use and pregnancy plans among women of reproductive age during the first Australian COVID-19 lockdown: findings from an online survey

    1. Jacqueline Coombe
    2. Fabian Kong
    3. Helen Bittleston
    4. Hennie Williams
    5. Jane Tomnay
    6. Alaina Vaisey
    7. Sue Malta
    8. Jane Goller
    9. Meredith Temple-Smith
    10. Louise Bourchier
    11. Andrew Lau
    12. Jane S. Hocking

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Evidence Supports a Causal Model for Vitamin D in COVID-19 Outcomes

    1. Gareth Davies
    2. Attila R Garami
    3. Joanna Byers

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. A small interfering RNA (siRNA) database for SARS-CoV-2

    1. Inácio Gomes Medeiros
    2. André Salim Khayat
    3. Beatriz Stransky
    4. Sidney Santos
    5. Paulo Assumpção
    6. Jorge Estefano Santana de Souza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Risk factors for outbreaks of COVID‐19 in care homes following hospital discharge: A national cohort analysis

    1. Chris Emmerson
    2. James P. Adamson
    3. Drew Turner
    4. Mike B. Gravenor
    5. Jane Salmon
    6. Simon Cottrell
    7. Victoria Middleton
    8. Buffy Thomas
    9. Brendan W. Mason
    10. Chris J. Williams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Prevalence of COVID-19 in adolescents and youth compared with older adults in states experiencing surges

    1. Barbara Rumain
    2. Moshe Schneiderman
    3. Allan Geliebter

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Robust estimates of the true (population) infection rate for COVID-19: a backcasting approach

    1. Steven J. Phipps
    2. R. Quentin Grafton
    3. Tom Kompas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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