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. The allocation of COVID-19 vaccines and antivirals against emerging SARS-CoV-2 variants of concern in East Asia and Pacific region: A modelling study

    1. Kathy Leung
    2. Mark Jit
    3. Gabriel M Leung
    4. Joseph T Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Modeling brings additional insights into the kinetics of SARS-CoV-2 neutralizing antibody

    1. Prague Mélanie
    2. Quentin Clairon
    3. Jérémie Guedj
    4. Rodolphe Thiébaut

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Intensive single-cell analysis reveals immune-cell diversity among healthy individuals

    1. Yukie Kashima
    2. Keiya Kaneko
    3. Patrick Reteng
    4. Nina Yoshitake
    5. Lucky Ronald Runtuwene
    6. Satoi Nagasawa
    7. Masaya Onishi
    8. Masahide Seki
    9. Ayako Suzuki
    10. Sumio Sugano
    11. Mamiko Sakata-Yanagimoto
    12. Yumiko Imai
    13. Kaori Nakayama-Hosoya
    14. Ai Kawana-Tachikawa
    15. Taketoshi Mizutani
    16. Yutaka Suzuki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Impact of routine asymptomatic screening on COVID-19 incidence in a highly vaccinated university population

    1. Rebeca C. Falcão
    2. Michael Otterstatter
    3. May A. Ahmed
    4. Michelle Spencer
    5. Sarafa Iyaniwura
    6. Naveed Z. Janjua
    7. Geoff McKee
    8. Michael A. Irvine

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Application of Machine Learning in Prediction of COVID-19 Diagnosis for Indonesian Healthcare Workers

    1. Shreyash Sonthalia
    2. Muhammad Aji Muharoom
    3. Sinta Amalia Kusumastuti Sumulyo
    4. Fariza Zahra Kamilah
    5. Fatma Aldila
    6. Bijak Rabbani
    7. Andhika Tirtawisata
    8. Olivia Herlinda
    9. Jatin Khaimani
    10. Levana Sani
    11. Astrid Irwanto
    12. Rebriarina Hapsari
    13. Nurul Luntungan
    14. Diah Saminarsih
    15. Akmal Taher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Post-entry, spike-dependent replication advantage of B.1.1.7 and B.1.617.2 over B.1 SARS-CoV-2 in an ACE2-deficient human lung cell line

    1. Daniela Niemeyer
    2. Simon Schroeder
    3. Kirstin Friedmann
    4. Friderike Weege
    5. Jakob Trimpert
    6. Anja Richter
    7. Saskia Stenzel
    8. Jenny Jansen
    9. Jackson Emanuel
    10. Julia Kazmierski
    11. Fabian Pott
    12. Lara M. Jeworowski
    13. Ruth Olmer
    14. Mark-Christian Jaboreck
    15. Beate Tenner
    16. Jan Papies
    17. Julian Heinze
    18. Felix Walper
    19. Marie L. Schmidt
    20. Nicolas Heinemann
    21. Elisabeth Möncke-Buchner
    22. Talitha Veith
    23. Morris Baumgardt
    24. Karen Hoffmann
    25. Marek Widera
    26. Tran Thi Nhu Thao
    27. Anita Balázs
    28. Jessica Schulze
    29. Christin Mache
    30. Markus Morkel
    31. Sandra Ciesek
    32. Leif G. Hanitsch
    33. Marcus A. Mall
    34. Andreas C. Hocke
    35. Volker Thiel
    36. Klaus Osterrieder
    37. Thorsten Wolff
    38. Ulrich Martin
    39. Victor M. Corman
    40. Marcel A. Müller
    41. Christine Goffinet
    42. Christian Drosten

    Reviewed by ScreenIT

    1 evaluationAppears in 2 listsLatest version Latest activity

  7. Impaired neutralizing antibody response to COVID-19 mRNA vaccines in cancer patients

    1. Cong Zeng
    2. John P. Evans
    3. Sarah Reisinger
    4. Jennifer Woyach
    5. Christina Liscynesky
    6. Zeinab El Boghdadly
    7. Mark P. Rubinstein
    8. Karthik Chakravarthy
    9. Linda Saif
    10. Eugene M. Oltz
    11. Richard J. Gumina
    12. Peter G. Shields
    13. Zihai Li
    14. Shan-Lu Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Transmission from vaccinated individuals in a large SARS-CoV-2 Delta variant outbreak

    1. Katherine J. Siddle
    2. Lydia A. Krasilnikova
    3. Gage K. Moreno
    4. Stephen F. Schaffner
    5. Johanna Vostok
    6. Nicholas A. Fitzgerald
    7. Jacob E. Lemieux
    8. Nikolaos Barkas
    9. Christine Loreth
    10. Ivan Specht
    11. Christopher H. Tomkins-Tinch
    12. Jillian S. Paull
    13. Beau Schaeffer
    14. Bradford P. Taylor
    15. Bryn Loftness
    16. Hillary Johnson
    17. Petra L. Schubert
    18. Hanna M. Shephard
    19. Matthew Doucette
    20. Timelia Fink
    21. Andrew S. Lang
    22. Stephanie Baez
    23. John Beauchamp
    24. Scott Hennigan
    25. Erika Buzby
    26. Stephanie Ash
    27. Jessica Brown
    28. Selina Clancy
    29. Seana Cofsky
    30. Luc Gagne
    31. Joshua Hall
    32. Rachel Harrington
    33. Gabrielle L. Gionet
    34. Katherine C. DeRuff
    35. Megan E. Vodzak
    36. Gordon C. Adams
    37. Sabrina T. Dobbins
    38. Sarah D. Slack
    39. Steven K. Reilly
    40. Lisa M. Anderson
    41. Michelle C. Cipicchio
    42. Matthew T. DeFelice
    43. Jonna L. Grimsby
    44. Scott E. Anderson
    45. Brendan S. Blumenstiel
    46. James C. Meldrim
    47. Heather M. Rooke
    48. Gina Vicente
    49. Natasha L. Smith
    50. Katelyn S. Messer
    51. Faye L. Reagan
    52. Zoe M. Mandese
    53. Matthew D. Lee
    54. Marianne C. Ray
    55. Marissa E. Fisher
    56. Maesha A. Ulcena
    57. Corey M. Nolet
    58. Sean E. English
    59. Katie L. Larkin
    60. Kyle Vernest
    61. Sushma Chaluvadi
    62. Deirdre Arvidson
    63. Maurice Melchiono
    64. Theresa Covell
    65. Vaira Harik
    66. Taylor Brock-Fisher
    67. Molly Dunn
    68. Amanda Kearns
    69. William P. Hanage
    70. Clare Bernard
    71. Anthony Philippakis
    72. Niall J. Lennon
    73. Stacey B. Gabriel
    74. Glen R. Gallagher
    75. Sandra Smole
    76. Lawrence C. Madoff
    77. Catherine M. Brown
    78. Daniel J. Park
    79. Bronwyn L. MacInnis
    80. Pardis C. Sabeti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Oral Lisinopril Raises Tissue Levels of ACE2, the SARS-CoV-2 Receptor, in Healthy Male and Female Mice

    1. Steven D. Brooks
    2. Rachel L. Smith
    3. Aline S. Moreira
    4. Hans C. Ackerman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Mutations in the nonstructural proteins of SARS-CoV-2 may contribute to adverse clinical outcome in patients with COVID-19

    1. Takaya Ichikawa
    2. Shiho Torii
    3. Hikoyu Suzuki
    4. Akio Takada
    5. Satoshi Suzuki
    6. Masahide Nakajima
    7. Akihito Tampo
    8. Yasutaka Kakinoki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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