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. Causal graph analysis of COVID-19 observational data in German districts reveals effects of determining factors on reported case numbers

    1. Edgar Steiger
    2. Tobias Mussgnug
    3. Lars Eric Kroll

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Changes of evening exposure to electronic devices during the COVID-19 lockdown affect the time course of sleep disturbances

    1. Federico Salfi
    2. Giulia Amicucci
    3. Domenico Corigliano
    4. Aurora D’Atri
    5. Lorenzo Viselli
    6. Daniela Tempesta
    7. Michele Ferrara

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Effects of Photobiomodulation Therapy Combined with Static Magnetic Field in Severe COVID-19 Patients Requiring Intubation: A Pragmatic Randomized Placebo-Controlled Trial

    1. Thiago De Marchi
    2. Fabiano Frâncio
    3. João Vitor Ferlito
    4. Renata Weigert
    5. Cristiane de Oliveira
    6. Ana Paula Merlo
    7. Délcio Luis Pandini
    8. Bolivar Antônio Pasqual-Júnior
    9. Daniela Giovanella
    10. Shaiane Silva Tomazoni
    11. Ernesto Cesar Leal-Junior

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Acute and persistent symptoms in non-hospitalized PCR-confirmed COVID-19 patients

    1. Sofie Bliddal
    2. Karina Banasik
    3. Ole Birger Pedersen
    4. Janna Nissen
    5. Lisa Cantwell
    6. Michael Schwinn
    7. Morten Tulstrup
    8. David Westergaard
    9. Henrik Ullum
    10. Søren Brunak
    11. Niels Tommerup
    12. Bjarke Feenstra
    13. Frank Geller
    14. Sisse Rye Ostrowski
    15. Kirsten Grønbæk
    16. Claus Henrik Nielsen
    17. Susanne Dam Nielsen
    18. Ulla Feldt-Rasmussen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Effectiveness of Convalescent Plasma for Treatment of COVID-19 Patients

    1. Shanshan Chen
    2. Chunya Lu
    3. Ping Li
    4. Lei Wang
    5. Huaqi Wang
    6. Qiankun Yang
    7. Liyinghui Chen
    8. Jianbin Li
    9. Hongwei Ma
    10. Qian Sang
    11. Jing Li
    12. Luyang Xu
    13. Xiangjin Song
    14. Fangfang Li
    15. Yi Zhang
    16. Yi Kang
    17. Lihua Xing
    18. Guojun Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Specific COVID-19 Symptoms Correlate with High Antibody Levels against SARS-CoV-2

    1. Maya F Amjadi
    2. Sarah E O’Connell
    3. Tammy Armbrust
    4. Aisha M Mergaert
    5. Sandeep R Narpala
    6. Peter J Halfmann
    7. S Janna Bashar
    8. Christopher R Glover
    9. Anna S Heffron
    10. Alison Taylor
    11. Britta Flach
    12. David H O’Connor
    13. Yoshihiro Kawaoka
    14. Adrian B McDermott
    15. Ajay K Sethi
    16. Miriam A Shelef

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Is Nigeria really on top of COVID-19? Message from effective reproduction number

    1. Adeshina Israel Adekunle
    2. Oyelola Adegboye
    3. Ezra Gayawan
    4. Emma McBryde

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The SARS-CoV-2 ORF10 is not essential in vitro or in vivo in humans

    1. Katarzyna Pancer
    2. Aleksandra Milewska
    3. Katarzyna Owczarek
    4. Agnieszka Dabrowska
    5. Michał Kowalski
    6. Paweł P. Łabaj
    7. Wojciech Branicki
    8. Marek Sanak
    9. Krzysztof Pyrc

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials

    1. Cathrine Axfors
    2. Andreas M. Schmitt
    3. Perrine Janiaud
    4. Janneke van’t Hooft
    5. Sherief Abd-Elsalam
    6. Ehab F. Abdo
    7. Benjamin S. Abella
    8. Javed Akram
    9. Ravi K. Amaravadi
    10. Derek C. Angus
    11. Yaseen M. Arabi
    12. Shehnoor Azhar
    13. Lindsey R. Baden
    14. Arthur W. Baker
    15. Leila Belkhir
    16. Thomas Benfield
    17. Marvin A. H. Berrevoets
    18. Cheng-Pin Chen
    19. Tsung-Chia Chen
    20. Shu-Hsing Cheng
    21. Chien-Yu Cheng
    22. Wei-Sheng Chung
    23. Yehuda Z. Cohen
    24. Lisa N. Cowan
    25. Olav Dalgard
    26. Fernando F. de Almeida e Val
    27. Marcus V. G. de Lacerda
    28. Gisely C. de Melo
    29. Lennie Derde
    30. Vincent Dubee
    31. Anissa Elfakir
    32. Anthony C. Gordon
    33. Carmen M. Hernandez-Cardenas
    34. Thomas Hills
    35. Andy I. M. Hoepelman
    36. Yi-Wen Huang
    37. Bruno Igau
    38. Ronghua Jin
    39. Felipe Jurado-Camacho
    40. Khalid S. Khan
    41. Peter G. Kremsner
    42. Benno Kreuels
    43. Cheng-Yu Kuo
    44. Thuy Le
    45. Yi-Chun Lin
    46. Wu-Pu Lin
    47. Tse-Hung Lin
    48. Magnus Nakrem Lyngbakken
    49. Colin McArthur
    50. Bryan J. McVerry
    51. Patricia Meza-Meneses
    52. Wuelton M. Monteiro
    53. Susan C. Morpeth
    54. Ahmad Mourad
    55. Mark J. Mulligan
    56. Srinivas Murthy
    57. Susanna Naggie
    58. Shanti Narayanasamy
    59. Alistair Nichol
    60. Lewis A. Novack
    61. Sean M. O’Brien
    62. Nwora Lance Okeke
    63. Léna Perez
    64. Rogelio Perez-Padilla
    65. Laurent Perrin
    66. Arantxa Remigio-Luna
    67. Norma E. Rivera-Martinez
    68. Frank W. Rockhold
    69. Sebastian Rodriguez-Llamazares
    70. Robert Rolfe
    71. Rossana Rosa
    72. Helge Røsjø
    73. Vanderson S. Sampaio
    74. Todd B. Seto
    75. Muhammad Shahzad
    76. Shaimaa Soliman
    77. Jason E. Stout
    78. Ireri Thirion-Romero
    79. Andrea B. Troxel
    80. Ting-Yu Tseng
    81. Nicholas A. Turner
    82. Robert J. Ulrich
    83. Stephen R. Walsh
    84. Steve A. Webb
    85. Jesper M. Weehuizen
    86. Maria Velinova
    87. Hon-Lai Wong
    88. Rebekah Wrenn
    89. Fernando G. Zampieri
    90. Wu Zhong
    91. David Moher
    92. Steven N. Goodman
    93. John P. A. Ioannidis
    94. Lars G. Hemkens

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Critical COVID-19 represents an endothelial disease with high similarity to kidney disease on the molecular level

    1. Justyna Siwy
    2. Ralph Wendt
    3. Amaya Albalat
    4. Tianlin He
    5. Harald Mischak
    6. William Mullen
    7. Agnieszka Latosińska
    8. Christoph Lübbert
    9. Sven Kalbitz
    10. Alexandre Mebazaa
    11. Björn Peters
    12. Bernd Stegmayr
    13. Goce Spasovski
    14. Thorsten Wiech
    15. Jan A. Staessen
    16. Johannes Wolf
    17. Joachim Beige

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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