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 of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

    1. Long H Nguyen
    2. David A Drew
    3. Mark S Graham
    4. Amit D Joshi
    5. Chuan-Guo Guo
    6. Wenjie Ma
    7. Raaj S Mehta
    8. Erica T Warner
    9. Daniel R Sikavi
    10. Chun-Han Lo
    11. Sohee Kwon
    12. Mingyang Song
    13. Lorelei A Mucci
    14. Meir J Stampfer
    15. Walter C Willett
    16. A Heather Eliassen
    17. Jaime E Hart
    18. Jorge E Chavarro
    19. Janet W Rich-Edwards
    20. Richard Davies
    21. Joan Capdevila
    22. Karla A Lee
    23. Mary Ni Lochlainn
    24. Thomas Varsavsky
    25. Carole H Sudre
    26. M Jorge Cardoso
    27. Jonathan Wolf
    28. Tim D Spector
    29. Sebastien Ourselin
    30. Claire J Steves
    31. Andrew T Chan
    32. Christine M. Albert
    33. Gabriella Andreotti
    34. Bijal Bala
    35. Bijal A. Balasubramanian
    36. Laura E. Beane-Freeman
    37. John S. Brownstein
    38. Fiona J. Bruinsma
    39. Joe Coresh
    40. Rui Costa
    41. Annie N. Cowan
    42. Anusila Deka
    43. Sandra L. Deming-Halverson
    44. Maria Elena Martinez
    45. Michael E. Ernst
    46. Jane C. Figueiredo
    47. Pedro Fortuna
    48. Paul W. Franks
    49. Laura Beane Freeman
    50. Christopher D. Gardner
    51. Irene M. Ghobrial
    52. Christopher A. Haiman
    53. Janet E. Hall
    54. Jae H. Kang
    55. Brenda Kirpach
    56. Karestan C. Koenen
    57. Laura D. Kubzansky
    58. James V. Lacey, Jr
    59. Loic Le Marchand
    60. Xihong Lin
    61. Pam Lutsey
    62. Catherine R. Marinac
    63. Maria Elena Martinez
    64. Roger L. Milne
    65. Anne M. Murray
    66. Denis Nash
    67. Julie R. Palmer
    68. Alpa V. Patel
    69. Eric Pierce
    70. McKaylee M. Robertson
    71. Lynn Rosenberg
    72. Dale P. Sandler
    73. Shepherd H. Schurman
    74. Kara Sewalk
    75. Shreela V. Sharma
    76. Christopher J. Sidey-Gibbons
    77. Liz Slevin
    78. Jordan W.. Smoller
    79. Claire J. Steves
    80. Maarit I. Tiirikainen
    81. Scott T. Weiss
    82. Lynne R. Wilkens
    83. Feng Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Global genetic patterns reveal host tropism versus cross-taxon transmission of bat Betacoronaviruses

    1. Michael G. Bacus
    2. Stephen Adrian H. Dayap
    3. Nikki Vanesa T. Tampon
    4. Marielle M. Udarbe
    5. Roberto P. Puentespina
    6. Sharon Yvette Angelina M. Villanueva
    7. Aleyla E. de Cadiz
    8. Marion John Michael M. Achondo
    9. Lyre Anni E. Murao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia

    1. Arina Anis Azlan
    2. Mohammad Rezal Hamzah
    3. Tham Jen Sern
    4. Suffian Hadi Ayub
    5. Emma Mohamad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. COVID-19 in breast cancer patients: a cohort at the Institut Curie hospitals in the Paris area

    1. Institut Curie Breast Cancer and COVID Group
    2. Perrine Vuagnat
    3. Maxime Frelaut
    4. Toulsie Ramtohul
    5. Clémence Basse
    6. Sarah Diakite
    7. Aurélien Noret
    8. Audrey Bellesoeur
    9. Vincent Servois
    10. Delphine Hequet
    11. Enora Laas
    12. Youlia Kirova
    13. Luc Cabel
    14. Jean-Yves Pierga
    15. Laurence Bozec
    16. Xavier Paoletti
    17. Paul Cottu
    18. François-Clément Bidard

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Modeling the Spread of COVID-19 in Lebanon: A Bayesian Perspective

    1. Samer A. Kharroubi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A Method to Identify the Missing COVID-19 Cases in the U.S. and Results for mid-April 2020

    1. Theodore R. Breton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures

    1. Enrico Bertuzzo
    2. Lorenzo Mari
    3. Damiano Pasetto
    4. Stefano Miccoli
    5. Renato Casagrandi
    6. Marino Gatto
    7. Andrea Rinaldo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Paucity and Disparity of Publicly Available Sex-Disaggregated Data for the COVID-19 Epidemic Hamper Evidence-Based Decision-Making

    1. Kristen Kocher
    2. Arthur Delot-Vilain
    3. D’Andre Spencer
    4. Jonathan LoTempio
    5. Emmanuèle C. Délot

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Characteristics of lymphocyte subsets and their predicting values for the severity of COVID-19 patients

    1. Jingrong Wang
    2. Xingqi Dong
    3. Boting Zhang
    4. Xinping Yang
    5. Zhi Li
    6. Xicheng Wang
    7. Shuguang Zuo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Probable causes and risk factors for positive SARS‐CoV‐2 test in recovered patients: Evidence from Brunei Darussalam

    1. Justin Wong
    2. Wee Chian Koh
    3. Riamiza Natalie Momin
    4. Mohammad Fathi Alikhan
    5. Noraskhin Fadillah
    6. Lin Naing

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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