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. State-level tracking of COVID-19 in the United States

    1. H. Juliette T. Unwin
    2. Swapnil Mishra
    3. Valerie C. Bradley
    4. Axel Gandy
    5. Thomas A. Mellan
    6. Helen Coupland
    7. Jonathan Ish-Horowicz
    8. Michaela A. C. Vollmer
    9. Charles Whittaker
    10. Sarah L. Filippi
    11. Xiaoyue Xi
    12. Mélodie Monod
    13. Oliver Ratmann
    14. Michael Hutchinson
    15. Fabian Valka
    16. Harrison Zhu
    17. Iwona Hawryluk
    18. Philip Milton
    19. Kylie E. C. Ainslie
    20. Marc Baguelin
    21. Adhiratha Boonyasiri
    22. Nick F. Brazeau
    23. Lorenzo Cattarino
    24. Zulma Cucunuba
    25. Gina Cuomo-Dannenburg
    26. Ilaria Dorigatti
    27. Oliver D. Eales
    28. Jeffrey W. Eaton
    29. Sabine L. van Elsland
    30. Richard G. FitzJohn
    31. Katy A. M. Gaythorpe
    32. William Green
    33. Wes Hinsley
    34. Benjamin Jeffrey
    35. Edward Knock
    36. Daniel J. Laydon
    37. John Lees
    38. Gemma Nedjati-Gilani
    39. Pierre Nouvellet
    40. Lucy Okell
    41. Kris V. Parag
    42. Igor Siveroni
    43. Hayley A. Thompson
    44. Patrick Walker
    45. Caroline E. Walters
    46. Oliver J. Watson
    47. Lilith K. Whittles
    48. Azra C. Ghani
    49. Neil M. Ferguson
    50. Steven Riley
    51. Christl A. Donnelly
    52. Samir Bhatt
    53. Seth Flaxman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. A wind speed threshold for increased outdoor transmission of coronavirus: an ecological study

    1. Sean A. P. Clouston
    2. Olga Morozova
    3. Jaymie R. Meliker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Expanded COVID-19 phenotype definitions reveal distinct patterns of genetic association and protective effects

    1. Genevieve H. L. Roberts
    2. Raghavendran Partha
    3. Brooke Rhead
    4. Spencer C. Knight
    5. Danny S. Park
    6. Marie V. Coignet
    7. Miao Zhang
    8. Nathan Berkowitz
    9. David A. Turrisini
    10. Michael Gaddis
    11. Shannon R. McCurdy
    12. Milos Pavlovic
    13. Luong Ruiz
    14. Chodon Sass
    15. AncestryDNA Science Team
    16. Asher K. Haug Baltzell
    17. Harendra Guturu
    18. Ahna R. Girshick
    19. Catherine A. Ball
    20. Eurie L. Hong
    21. Kristin A. Rand

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Assessment of SARS-CoV-2 Screening Strategies to Permit the Safe Reopening of College Campuses in the United States

    1. A. David Paltiel
    2. Amy Zheng
    3. Rochelle P. Walensky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Seroprevalence of SARS-CoV-2 antibodies in children: a prospective multicentre cohort study

    1. Thomas Waterfield
    2. Chris Watson
    3. Rebecca Moore
    4. Kathryn Ferris
    5. Claire Tonry
    6. Alison Watt
    7. Claire McGinn
    8. Steven Foster
    9. Jennifer Evans
    10. Mark David Lyttle
    11. Shazaad Ahmad
    12. Shamez Ladhani
    13. Michael Corr
    14. Lisa McFetridge
    15. Hannah Mitchell
    16. Kevin Brown
    17. Gayatri Amirthalingam
    18. Julie-Ann Maney
    19. Sharon Christie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The dynamics of Covid-19: weather, demographics and infection timeline

    1. Renato H. L. Pedrosa

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Circulating cytokines and lymphocyte subsets in patients who have recovered from COVID-19

    1. Hasichaolu
    2. Xinri Zhang
    3. Xin Li
    4. Xin Li
    5. Dongyan Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Integrated analysis of multimodal single-cell data

    1. Yuhan Hao
    2. Stephanie Hao
    3. Erica Andersen-Nissen
    4. William M. Mauck
    5. Shiwei Zheng
    6. Andrew Butler
    7. Maddie J. Lee
    8. Aaron J. Wilk
    9. Charlotte Darby
    10. Michael Zager
    11. Paul Hoffman
    12. Marlon Stoeckius
    13. Efthymia Papalexi
    14. Eleni P. Mimitou
    15. Jaison Jain
    16. Avi Srivastava
    17. Tim Stuart
    18. Lamar M. Fleming
    19. Bertrand Yeung
    20. Angela J. Rogers
    21. Juliana M. McElrath
    22. Catherine A. Blish
    23. Raphael Gottardo
    24. Peter Smibert
    25. Rahul Satija

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Decreasing median age of COVID-19 cases in the United States—Changing epidemiology or changing surveillance?

    1. Dina N. Greene
    2. Michael L. Jackson
    3. David R. Hillyard
    4. Julio C. Delgado
    5. Robert L. Schmidt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Search for trends of Covid-19 infection in India, China, Denmark, Brazil, France. Germany and the USA on the basis of power law scaling

    1. Srijit Bhattacharya
    2. Alokkumar De
    3. Md Moinul Islam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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