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. Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence

    1. Hieu M Nguyen
    2. Philip J Turk
    3. Andrew D McWilliams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modelling the Anatomic Distribution of Neurologic Events in Patients with COVID-19: A Systematic Review of MRI Findings

    1. N. Parsons
    2. A. Outsikas
    3. A. Parish
    4. R. Clohesy
    5. F. D’Aprano
    6. F. Toomey
    7. S. Advani
    8. G.R. Poudel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Breaking the back of COVID-19: Is Bangladesh doing enough testing?

    1. Md Hasinur Rahaman Khan
    2. Tamanna Howlader

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Variation across population subgroups of COVID-19 antibody testing performance

    1. Halley L. Brantley
    2. Richard M. Yoo
    3. Glen I. Jones
    4. Marel A. Stock
    5. Peter J. Park
    6. Natalie E. Sheils
    7. Isaac S. Kohane

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. IgG Antibodies against SARS-CoV-2 Correlate with Days from Symptom Onset, Viral Load and IL-10

    1. Mary K. Young
    2. Christine Kornmeier
    3. Rebecca M. Carpenter
    4. Nick R. Natale
    5. Jennifer M. Sasson
    6. Michael D. Solga
    7. Amy J. Mathers
    8. Melinda D. Poulter
    9. Xiao Qiang
    10. William A. Petri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Outcome evaluation of COVID-19 infected patients by disease symptoms: a cross-sectional study in Ilam Province, Iran

    1. Jamil Sadeghifar
    2. Habib Jalilian
    3. Khalil Momeni
    4. Hamed Delam
    5. Tadesse Sheleme
    6. Ayoub Rashidi
    7. Fariba Hemmati
    8. Shahab Falahi
    9. Morteza Arab-Zozani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Diverse functional autoantibodies in patients with COVID-19

    1. Eric Y. Wang
    2. Tianyang Mao
    3. Jon Klein
    4. Yile Dai
    5. John D. Huck
    6. Jillian R. Jaycox
    7. Feimei Liu
    8. Ting Zhou
    9. Benjamin Israelow
    10. Patrick Wong
    11. Andreas Coppi
    12. Carolina Lucas
    13. Julio Silva
    14. Ji Eun Oh
    15. Eric Song
    16. Emily S. Perotti
    17. Neil S. Zheng
    18. Suzanne Fischer
    19. Melissa Campbell
    20. John B. Fournier
    21. Anne L. Wyllie
    22. Chantal B. F. Vogels
    23. Isabel M. Ott
    24. Chaney C. Kalinich
    25. Mary E. Petrone
    26. Anne E. Watkins
    27. Yale IMPACT Team
    28. Abeer Obaid
    29. Adam J. Moore
    30. Arnau Casanovas-Massana
    31. Alice Lu-Culligan
    32. Allison Nelson
    33. Angela Nunez
    34. Anjelica Martin
    35. Bertie Geng
    36. Camila D. Odio
    37. Christina A. Harden
    38. Codruta Todeasa
    39. Cole Jensen
    40. Daniel Kim
    41. David McDonald
    42. Denise Shepard
    43. Edward Courchaine
    44. Elizabeth B. White
    45. Erin Silva
    46. Eriko Kudo
    47. Giuseppe DeIuliis
    48. Harold Rahming
    49. Hong-Jai Park
    50. Irene Matos
    51. Jessica Nouws
    52. Jordan Valdez
    53. Joseph Lim
    54. Kadi-Ann Rose
    55. Kelly Anastasio
    56. Kristina Brower
    57. Laura Glick
    58. Lokesh Sharma
    59. Lorenzo Sewanan
    60. Lynda Knaggs
    61. Maksym Minasyan
    62. Maria Batsu
    63. Maxine Kuang
    64. Maura Nakahata
    65. Melissa Linehan
    66. Michael H. Askenase
    67. Michael Simonov
    68. Mikhail Smolgovsky
    69. Nicole Sonnert
    70. Nida Naushad
    71. Pavithra Vijayakumar
    72. Rick Martinello
    73. Rupak Datta
    74. Ryan Handoko
    75. Santos Bermejo
    76. Sarah Prophet
    77. Sean Bickerton
    78. Sofia Velazquez
    79. Tyler Rice
    80. William Khoury-Hanold
    81. Xiaohua Peng
    82. Yexin Yang
    83. Yiyun Cao
    84. Yvette Strong
    85. Charles Dela Cruz
    86. Shelli F. Farhadian
    87. Wade L. Schulz
    88. Shuangge Ma
    89. Nathan D. Grubaugh
    90. Albert I. Ko
    91. Akiko Iwasaki
    92. Aaron M. Ring

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Severity Prediction for COVID-19 Patients via Recurrent Neural Networks

    1. Junghwan Lee
    2. Jae Hyun Kim
    3. Casey Ta
    4. Cong Liu
    5. Chunhua Weng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Development and calibration of a simple mortality risk score for hospitalized COVID-19 adults

    1. Edwin Yoo
    2. Bethany Percha
    3. Max Tomlinson
    4. Victor Razuk
    5. Stephanie Pan
    6. Madeleine Basist
    7. Pranai Tandon
    8. Jing Gennie Wang
    9. Cynthia Gao
    10. Sonali Bose
    11. Umesh Gidwani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. High SARS-CoV-2 seroprevalence in children and adults in the Austrian ski resort of Ischgl

    1. Ludwig Knabl
    2. Tanmay Mitra
    3. Janine Kimpel
    4. Annika Rössler
    5. André Volland
    6. Andreas Walser
    7. Hanno Ulmer
    8. Lisa Pipperger
    9. Sebastian C. Binder
    10. Lydia Riepler
    11. Katie Bates
    12. Arnab Bandyopadhyay
    13. Marta Schips
    14. Mrinalini Ranjan
    15. Barbara Falkensammer
    16. Wegene Borena
    17. Michael Meyer-Hermann
    18. Dorothee von Laer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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