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. Drug repurposing screen identifies masitinib as a 3CLpro inhibitor that blocks replication of SARS-CoV-2 in vitro

    1. Nir Drayman
    2. Krysten A. Jones
    3. Saara-Anne Azizi
    4. Heather M. Froggatt
    5. Kemin Tan
    6. Natalia Ivanovna Maltseva
    7. Siquan Chen
    8. Vlad Nicolaescu
    9. Steve Dvorkin
    10. Kevin Furlong
    11. Rahul S. Kathayat
    12. Mason R. Firpo
    13. Vincent Mastrodomenico
    14. Emily A. Bruce
    15. Madaline M. Schmidt
    16. Robert Jedrzejczak
    17. Miguel Á. Muñoz-Alía
    18. Brooke Schuster
    19. Vishnu Nair
    20. Jason W. Botten
    21. Christopher B. Brooke
    22. Susan C. Baker
    23. Bryan C. Mounce
    24. Nicholas S. Heaton
    25. Bryan C. Dickinson
    26. Andrzej Jaochimiak
    27. Glenn Randall
    28. Savaş Tay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Obesity as a predictor for adverse outcomes among COVID-19 patients: A meta-analysis

    1. Pranta Das
    2. Nandeeta Samad
    3. Abdul-Aziz Seidu
    4. Richard Gyan Aboagye
    5. Justice Kanor Tetteh
    6. Bright Opoku Ahinkorah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK

    1. Louis du Plessis
    2. John T. McCrone
    3. Alexander E. Zarebski
    4. Verity Hill
    5. Christopher Ruis
    6. Bernardo Gutierrez
    7. Jayna Raghwani
    8. Jordan Ashworth
    9. Rachel Colquhoun
    10. Thomas R. Connor
    11. Nuno R. Faria
    12. Ben Jackson
    13. Nicholas J. Loman
    14. Áine O’Toole
    15. Samuel M. Nicholls
    16. Kris V. Parag
    17. Emily Scher
    18. Tetyana I. Vasylyeva
    19. Erik M. Volz
    20. Alexander Watts
    21. Isaac I. Bogoch
    22. Kamran Khan
    23. COVID-19 Genomics UK (COG-UK) Consortium
    24. David M. Aanensen
    25. Moritz U. G. Kraemer
    26. Andrew Rambaut
    27. Oliver G. Pybus

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Antiviral effects of miRNAs in extracellular vesicles against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and mutations in SARS-CoV-2 RNA virus

    1. Jae Hyun Park
    2. Yuri Choi
    3. Chul-Woo Lim
    4. Ji-Min Park
    5. Shin-Hye Yu
    6. Yujin Kim
    7. Hae Jung Han
    8. Chun-Hyung Kim
    9. Young-Sook Song
    10. Chul Kim
    11. Jisook Moon

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  5. A phenomenological approach to assessing the effectiveness of COVID-19 related nonpharmaceutical interventions in Germany

    1. Thomas Wieland

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Burden of COVID-19 pandemic in India: Perspectives from Health Infrastructure

    1. Harihar Sahoo
    2. Chaitali Mandal
    3. Suyash Mishra
    4. Snigdha Banerjee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Sooner than you think: A very early affective reaction to the COVID-19 pandemic and quarantine in Argentina

    1. F. Torrente
    2. A. Yoris
    3. D.M. Low
    4. P. Lopez
    5. P. Bekinschtein
    6. F. Manes
    7. M. Cetkovich

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Association of Antihypertensive Agents with the Risk of In-Hospital Death in Patients with Covid-19

    1. Laurent Chouchana
    2. Nathanaël Beeker
    3. Nicolas Garcelon
    4. Bastien Rance
    5. Nicolas Paris
    6. Elisa Salamanca
    7. Elisabeth Polard
    8. Anita Burgun
    9. Jean-Marc Treluyer
    10. Antoine Neuraz
    11. on behalf of AP-HP/Universities/Inserm COVID-19 research collaboration, AP-HP Covid CDR Initiative, and “Entrepôt de Données de Santé” AP-HP Consortium”
    12. Pierre-Yves Ancel
    13. Alain Bauchet
    14. Nathanaël Beeker
    15. Vincent Benoit
    16. Mélodie Bernaux
    17. Ali Bellamine
    18. Romain Bey
    19. Aurélie Bourmaud
    20. Stéphane Breant
    21. Anita Burgun
    22. Fabrice Carrat
    23. Charlotte Caucheteux
    24. Julien Champ
    25. Sylvie Cormont
    26. Christel Daniel
    27. Julien Dubiel
    28. Catherine Ducloas
    29. Loic Esteve
    30. Marie Frank
    31. Nicolas Garcelon
    32. Alexandre Gramfort
    33. Nicolas Griffon
    34. Olivier Grisel
    35. Martin Guilbaud
    36. Claire Hassen-Khodja
    37. François Hemery
    38. Martin Hilka
    39. Anne Sophie Jannot
    40. Jerome Lambert
    41. Richard Layese
    42. Judith Leblanc
    43. Leo Lebouter
    44. Guillaume Lemaitre
    45. Damien Leprovost
    46. Ivan Lerner
    47. Kankoe Levi Sallah
    48. Aurelien Maire
    49. Marie-France Mamzer
    50. Patricia Martel
    51. Arthur Mensch
    52. Thomas Moreau
    53. Antoine Neuraz
    54. Nina Orlova
    55. Nicolas Paris
    56. Bastien Rance
    57. Helene Ravera
    58. Antoine Rozes
    59. Elisa Salamanca
    60. Arnaud Sandrin
    61. Patricia Serre
    62. Xavier Tannier
    63. Jean-Marc Treluyer
    64. Damien Van Gysel
    65. Gaël Varoquaux
    66. Jill Jen Vie
    67. Maxime Wack
    68. Perceval Wajsburt
    69. Demian Wassermann
    70. Eric Zapletal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy

    1. Pietro Hiram Guzzi
    2. Giuseppe Tradigo
    3. Pierangelo Veltri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Pre-symptomatic detection of COVID-19 from smartwatch data

    1. Tejaswini Mishra
    2. Meng Wang
    3. Ahmed A. Metwally
    4. Gireesh K. Bogu
    5. Andrew W. Brooks
    6. Amir Bahmani
    7. Arash Alavi
    8. Alessandra Celli
    9. Emily Higgs
    10. Orit Dagan-Rosenfeld
    11. Bethany Fay
    12. Susan Kirkpatrick
    13. Ryan Kellogg
    14. Michelle Gibson
    15. Tao Wang
    16. Erika M. Hunting
    17. Petra Mamic
    18. Ariel B. Ganz
    19. Benjamin Rolnik
    20. Xiao Li
    21. Michael P. Snyder

    Reviewed by ScreenIT, NCRC

    3 evaluationsAppears in 2 listsLatest version Latest activity
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