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. Risk Perceptions, Knowledge and Behaviors of General and High-Risk Adult Populations Towards COVID-19: A Systematic Scoping Review

    1. Nathalie Clavel
    2. Janine Badr
    3. Lara Gautier
    4. Mélanie Lavoie-Tremblay
    5. Jesseca Paquette

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The projected impact of mitigation and suppression strategies on the COVID-19 epidemic in Senegal: A modelling study

    1. Hayley A Thompson
    2. Aminata Mboup
    3. Badara Cisse
    4. Shevanthi Nayagam
    5. Oliver J Watson
    6. Charles Whittaker
    7. Patrick G T Walker
    8. Azra C Ghani
    9. Souleymane Mboup
    10. With the Imperial College COVID-19 Response Team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Treatment Response to Hydroxychloroquine, Lopinavir–Ritonavir, and Antibiotics for Moderate COVID-19: A First Report on the Pharmacological Outcomes from South Korea

    1. Min Seo Kim
    2. Soon-Woo Jang
    3. Yu-Kyung Park
    4. Bong-Ok Kim
    5. Tae-Ho Hwang
    6. Seok Ho Kang
    7. Won Jun Kim
    8. Park Sung Kyu
    9. Hea-Woon Park
    10. Wonjong Yang
    11. Joonyoung Jang
    12. Min Ho An

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK

    1. Simon Ball
    2. Amitava Banerjee
    3. Colin Berry
    4. Jonathan R Boyle
    5. Benjamin Bray
    6. William Bradlow
    7. Afzal Chaudhry
    8. Rikki Crawley
    9. John Danesh
    10. Alastair Denniston
    11. Florian Falter
    12. Jonine D Figueroa
    13. Christopher Hall
    14. Harry Hemingway
    15. Emily Jefferson
    16. Tom Johnson
    17. Graham King
    18. Kuan Ken Lee
    19. Paul McKean
    20. Suzanne Mason
    21. Nicholas L Mills
    22. Ewen Pearson
    23. Munir Pirmohamed
    24. Michael T C Poon
    25. Rouven Priedon
    26. Anoop Shah
    27. Reecha Sofat
    28. Jonathan A C Sterne
    29. Fiona E Strachan
    30. Cathie L M Sudlow
    31. Zsolt Szarka
    32. William Whiteley
    33. Michael Wyatt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The Mechanism of SARS-CoV-2 Nucleocapsid Protein Recognition by the Human 14-3-3 Proteins

    1. Kristina V. Tugaeva
    2. Dorothy E.D.P. Hawkins
    3. Jake L.R. Smith
    4. Oliver W. Bayfield
    5. De-Sheng Ker
    6. Andrey A. Sysoev
    7. Oleg I. Klychnikov
    8. Alfred A. Antson
    9. Nikolai N. Sluchanko

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A prediction model for COVID-19 prevalence based on demographic and healthcare parameters in Iran

    1. Parimah Emadi Safavi
    2. Karim Rahimian
    3. Alireza Doustmohammadi
    4. Mahla Safari dastjerdei
    5. Ahmadreza Rasouli
    6. Javad Zahiri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Determinants of the incidence and mortality rates of COVID-19 during the first six months of the pandemic; a cross-country study

    1. Noha Asem
    2. Ahmed Ramadan
    3. Mohamed Hassany
    4. Ramy Mohamed Ghazy
    5. Mohamed Abdallah
    6. Eman M. Gamal
    7. Shaimaa Hassan
    8. Nehal Kamal
    9. Hala Zaid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A COVID-19 vaccine candidate using SpyCatcher multimerization of the SARS-CoV-2 spike protein receptor-binding domain induces potent neutralising antibody responses

    1. Tiong Kit Tan
    2. Pramila Rijal
    3. Rolle Rahikainen
    4. Anthony H. Keeble
    5. Lisa Schimanski
    6. Saira Hussain
    7. Ruth Harvey
    8. Jack W. P. Hayes
    9. Jane C. Edwards
    10. Rebecca K. McLean
    11. Veronica Martini
    12. Miriam Pedrera
    13. Nazia Thakur
    14. Carina Conceicao
    15. Isabelle Dietrich
    16. Holly Shelton
    17. Anna Ludi
    18. Ginette Wilsden
    19. Clare Browning
    20. Adrian K. Zagrajek
    21. Dagmara Bialy
    22. Sushant Bhat
    23. Phoebe Stevenson-Leggett
    24. Philippa Hollinghurst
    25. Matthew Tully
    26. Katy Moffat
    27. Chris Chiu
    28. Ryan Waters
    29. Ashley Gray
    30. Mehreen Azhar
    31. Valerie Mioulet
    32. Joseph Newman
    33. Amin S. Asfor
    34. Alison Burman
    35. Sylvia Crossley
    36. John A. Hammond
    37. Elma Tchilian
    38. Bryan Charleston
    39. Dalan Bailey
    40. Tobias J. Tuthill
    41. Simon P. Graham
    42. Helen M. E. Duyvesteyn
    43. Tomas Malinauskas
    44. Jiandong Huo
    45. Julia A. Tree
    46. Karen R. Buttigieg
    47. Raymond J. Owens
    48. Miles W. Carroll
    49. Rodney S. Daniels
    50. John W. McCauley
    51. David I. Stuart
    52. Kuan-Ying A. Huang
    53. Mark Howarth
    54. Alain R. Townsend

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Physical activity and COVID-19: an observational and Mendelian randomisation study

    1. Xiaomeng Zhang
    2. Xue Li
    3. Ziwen Sun
    4. Yazhou He
    5. Wei Xu
    6. Harry Campbell
    7. Malcolm G Dunlop
    8. Maria Timofeeva
    9. Evropi Theodoratou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Binding Strength and Hydrogen Bond Numbers between COVID-19 RBD and HVR of Antibody

    1. Ryan Taoran Wang
    2. Alex Fan Xu
    3. Qi Zhou
    4. Tinglu Song
    5. Kelvin J. Xu
    6. Gu Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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