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. SARS-CoV-2 in sewer systems and connected facilities

    1. Maria Cristina Collivignarelli
    2. Carlo Collivignarelli
    3. Marco Carnevale Miino
    4. Alessandro Abbà
    5. Roberta Pedrazzani
    6. Giorgio Bertanza

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Broad and strong memory CD4+ and CD8+ T cells induced by SARS-CoV-2 in UK convalescent individuals following COVID-19

    1. Yanchun Peng
    2. Alexander J. Mentzer
    3. Guihai Liu
    4. Xuan Yao
    5. Zixi Yin
    6. Danning Dong
    7. Wanwisa Dejnirattisai
    8. Timothy Rostron
    9. Piyada Supasa
    10. Chang Liu
    11. César López-Camacho
    12. Jose Slon-Campos
    13. Yuguang Zhao
    14. David I. Stuart
    15. Guido C. Paesen
    16. Jonathan M. Grimes
    17. Alfred A. Antson
    18. Oliver W. Bayfield
    19. Dorothy E. D. P. Hawkins
    20. De-Sheng Ker
    21. Beibei Wang
    22. Lance Turtle
    23. Krishanthi Subramaniam
    24. Paul Thomson
    25. Ping Zhang
    26. Christina Dold
    27. Jeremy Ratcliff
    28. Peter Simmonds
    29. Thushan de Silva
    30. Paul Sopp
    31. Dannielle Wellington
    32. Ushani Rajapaksa
    33. Yi-Ling Chen
    34. Mariolina Salio
    35. Giorgio Napolitani
    36. Wayne Paes
    37. Persephone Borrow
    38. Benedikt M. Kessler
    39. Jeremy W. Fry
    40. Nikolai F. Schwabe
    41. Malcolm G. Semple
    42. J. Kenneth Baillie
    43. Shona C. Moore
    44. Peter J. M. Openshaw
    45. M. Azim Ansari
    46. Susanna Dunachie
    47. Eleanor Barnes
    48. John Frater
    49. Georgina Kerr
    50. Philip Goulder
    51. Teresa Lockett
    52. Robert Levin
    53. Yonghong Zhang
    54. Ronghua Jing
    55. Ling-Pei Ho
    56. Oxford Immunology Network Covid-19 Response T cell Consortium
    57. Eleanor Barnes
    58. Danning Dong
    59. Tao Dong
    60. Susanna Dunachie
    61. John Frater
    62. Philip Goulder
    63. Georgina Kerr
    64. Paul Klenerman
    65. Guihai Liu
    66. Andrew McMichael
    67. Giorgio Napolitani
    68. Graham Ogg
    69. Yanchun Peng
    70. Mariolina Salio
    71. Xuan Yao
    72. Zixi Yin
    73. ISARIC4C Investigators
    74. J. Kenneth Baillie
    75. Paul Klenerman
    76. Alexander J. Mentzer
    77. Shona C. Moore
    78. Peter J. M. Openshaw
    79. Malcolm G. Semple
    80. David I. Stuart
    81. Lance Turtle
    82. Richard J. Cornall
    83. Christopher P. Conlon
    84. Paul Klenerman
    85. Gavin R. Screaton
    86. Juthathip Mongkolsapaya
    87. Andrew McMichael
    88. Julian C. Knight
    89. Graham Ogg
    90. Tao Dong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. SARS-CoV-2-Specific T Cells Exhibit Phenotypic Features of Helper Function, Lack of Terminal Differentiation, and High Proliferation Potential

    1. Jason Neidleman
    2. Xiaoyu Luo
    3. Julie Frouard
    4. Guorui Xie
    5. Gurjot Gill
    6. Ellen S. Stein
    7. Matthew McGregor
    8. Tongcui Ma
    9. Ashley F. George
    10. Astrid Kosters
    11. Warner C. Greene
    12. Joshua Vasquez
    13. Eliver Ghosn
    14. Sulggi Lee
    15. Nadia R. Roan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 Whole Genome Amplification and Sequencing for Effective Population-Based Surveillance and Control of Viral Transmission

    1. Divinlal Harilal
    2. Sathishkumar Ramaswamy
    3. Tom Loney
    4. Hanan Al Suwaidi
    5. Hamda Khansaheb
    6. Abdulmajeed Alkhaja
    7. Rupa Varghese
    8. Zulfa Deesi
    9. Norbert Nowotny
    10. Alawi Alsheikh-Ali
    11. Ahmad Abou Tayoun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Cross-Sectional Evaluation of Humoral Responses against SARS-CoV-2 Spike

    1. Jérémie Prévost
    2. Romain Gasser
    3. Guillaume Beaudoin-Bussières
    4. Jonathan Richard
    5. Ralf Duerr
    6. Annemarie Laumaea
    7. Sai Priya Anand
    8. Guillaume Goyette
    9. Mehdi Benlarbi
    10. Shilei Ding
    11. Halima Medjahed
    12. Antoine Lewin
    13. Josée Perreault
    14. Tony Tremblay
    15. Gabrielle Gendron-Lepage
    16. Nicolas Gauthier
    17. Marc Carrier
    18. Diane Marcoux
    19. Alain Piché
    20. Myriam Lavoie
    21. Alexandre Benoit
    22. Vilayvong Loungnarath
    23. Gino Brochu
    24. Elie Haddad
    25. Hannah D. Stacey
    26. Matthew S. Miller
    27. Marc Desforges
    28. Pierre J. Talbot
    29. Graham T. Gould Maule
    30. Marceline Côté
    31. Christian Therrien
    32. Bouchra Serhir
    33. Renée Bazin
    34. Michel Roger
    35. Andrés Finzi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Effects of Renin-Angiotensin Inhibition on ACE2 (Angiotensin-Converting Enzyme 2) and TMPRSS2 (Transmembrane Protease Serine 2) Expression

    1. Congqing Wu
    2. Dien Ye
    3. Adam E. Mullick
    4. Zhenyu Li
    5. A.H. Jan Danser
    6. Alan Daugherty
    7. Hong S. Lu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Evolutionary and structural analyses of SARS-CoV-2 D614G spike protein mutation now documented worldwide

    1. Sandra Isabel
    2. Lucía Graña-Miraglia
    3. Jahir M. Gutierrez
    4. Cedoljub Bundalovic-Torma
    5. Helen E. Groves
    6. Marc R. Isabel
    7. AliReza Eshaghi
    8. Samir N. Patel
    9. Jonathan B. Gubbay
    10. Tomi Poutanen
    11. David S. Guttman
    12. Susan M. Poutanen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-ray Images

    1. Md. Shahriare Satu
    2. Khair Ahammed
    3. Mohammad Zoynul Abedin
    4. Md. Auhidur Rahman
    5. Sheikh Mohammed Shariful Islam
    6. AKM Azad
    7. Salem A. Alyami
    8. Mohammad Ali Moni

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Relationship between blood group and risk of infection and death in COVID-19: a live meta-analysis

    1. F. Pourali
    2. M. Afshari
    3. R. Alizadeh-Navaei
    4. J. Javidnia
    5. M. Moosazadeh
    6. A. Hessami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Dynamics of the SARS-CoV-2 epidemic in the earliest-affected areas in Italy: Mass screening for SARS-CoV-2 serological positivity (SARS-2-SCREEN)

    1. Gabriele Pagani
    2. Dario Bernacchia
    3. Federico Conti
    4. Andrea Giacomelli
    5. Rossana Rondanin
    6. Vittore Scolari
    7. Patrizia Boracchi
    8. Cecilia Eugenia Gandolfi
    9. Silvana Castaldi
    10. Elia Biganzoli
    11. Massimo Galli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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