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. Stochastic simulation of successive waves of COVID-19 in the province of Barcelona

    1. M. Bosman
    2. A. Esteve
    3. L. Gabbanelli
    4. X. Jordan
    5. A. López-Gay
    6. M. Manera
    7. M. Martínez
    8. P. Masjuan
    9. Ll.M. Mir
    10. J. Paradells
    11. A. Pignatelli
    12. I. Riu
    13. V. Vitagliano

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. No evidence of fetal defects or anti-syncytin-1 antibody induction following COVID-19 mRNA vaccination

    1. Alice Lu-Culligan
    2. Alexandra Tabachnikova
    3. Maria Tokuyama
    4. Hannah J. Lee
    5. Carolina Lucas
    6. Valter Silva Monteiro
    7. M. Catherine Muenker
    8. Subhasis Mohanty
    9. Jiefang Huang
    10. Insoo Kang
    11. Charles Dela Cruz
    12. Shelli Farhadian
    13. Melissa Campbell
    14. Inci Yildirim
    15. Albert C. Shaw
    16. Albert I. Ko
    17. Saad B. Omer
    18. Akiko Iwasaki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Minimal cross-over between mutations associated with Omicron variant of SARS-CoV-2 and CD8+ T cell epitopes identified in COVID-19 convalescent individuals

    1. Andrew D Redd
    2. Alessandra Nardin
    3. Hassen Kared
    4. Evan M Bloch
    5. Brian Abel
    6. Andrew Pekosz
    7. Oliver Laeyendecker
    8. Michael Fehlings
    9. Thomas C Quinn
    10. Aaron AR Tobian

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Simultaneous analysis of antigen‐specific B and T cells after SARS‐CoV‐2 infection and vaccination

    1. Krista L. Newell
    2. Mitchell J. Waldran
    3. Stephen J. Thomas
    4. Timothy P. Endy
    5. Adam T. Waickman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A proteomic perspective and involvement of cytokines in SARS-CoV-2 infection

    1. Sarena Banu
    2. Ramakrishnan Nagaraj
    3. Mohammed M. Idris

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. SARS-CoV-2 variants of concern remain dependent on IFITM2 for efficient replication in human lung cells

    1. Rayhane Nchioua
    2. Annika Schundner
    3. Dorota Kmiec
    4. Caterina Prelli Bozzo
    5. Fabian Zech
    6. Lennart Koepke
    7. Alexander Graf
    8. Stefan Krebs
    9. Helmut Blum
    10. Manfred Frick
    11. Konstantin M. J. Sparrer
    12. Frank Kirchhoff

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A prospective diagnostic evaluation of accuracy of self-taken and healthcare worker-taken swabs for rapid COVID-19 testing

    1. Helen R. Savage
    2. Lorna Finch
    3. Richard Body
    4. Rachel L. Watkins
    5. LSTM Diagnostics group
    6. CONDOR steering group
    7. Gail Hayward
    8. Eloïse Cook
    9. Ana I. Cubas-Atienzar
    10. Luis E. Cuevas
    11. Peter MacPherson
    12. Emily R. Adams

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SEDRA: Selective Entry Dynamic Risk Assessment: A mathematical model to safely keep the borders open during Covid-19

    1. Silvano de Gennaro
    2. Håkan Lane

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. SIR Modeling the Dual Disaster Impacts of Omicron B.1.1.529 and Natural Disaster Events on Simulated 6 Months (December 2021 – May 2022) Healthcare System Resiliences in Fragile SE Asia Ring of Fire Ecosystems

    1. Andri Wibowo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses

    1. Wanwisa Dejnirattisai
    2. Jiandong Huo
    3. Daming Zhou
    4. Jiří Zahradník
    5. Piyada Supasa
    6. Chang Liu
    7. Helen M.E. Duyvesteyn
    8. Helen M. Ginn
    9. Alexander J. Mentzer
    10. Aekkachai Tuekprakhon
    11. Rungtiwa Nutalai
    12. Beibei Wang
    13. Aiste Dijokaite
    14. Suman Khan
    15. Ori Avinoam
    16. Mohammad Bahar
    17. Donal Skelly
    18. Sandra Adele
    19. Sile Ann Johnson
    20. Ali Amini
    21. Thomas Ritter
    22. Chris Mason
    23. Christina Dold
    24. Daniel Pan
    25. Sara Assadi
    26. Adam Bellass
    27. Nikki Omo-Dare
    28. David Koeckerling
    29. Amy Flaxman
    30. Daniel Jenkin
    31. Parvinder K Aley
    32. Merryn Voysey
    33. Sue Ann Costa Clemens
    34. Felipe Gomes Naveca
    35. Valdinete Nascimento
    36. Fernanda Nascimento
    37. Cristiano Fernandes da Costa
    38. Paola Cristina Resende
    39. Alex Pauvolid-Correa
    40. Marilda M. Siqueira
    41. Vicky Baillie
    42. Natali Serafin
    43. Zanele Ditse
    44. Kelly Da Silva
    45. Shabir Madhi
    46. Marta C Nunes
    47. Tariq Malik
    48. Peter JM Openshaw
    49. J Kenneth Baillie
    50. Malcolm G Semple
    51. Alain R Townsend
    52. Kuan-Ying A. Huang
    53. Tiong Kit Tan
    54. Miles W. Carroll
    55. Paul Klenerman
    56. Eleanor Barnes
    57. Susanna J. Dunachie
    58. Bede Constantinides
    59. Hermione Webster
    60. Derrick Crook
    61. Andrew J Pollard
    62. Teresa Lambe
    63. OPTIC consortium
    64. ISARIC4C consortium
    65. Neil G. Paterson
    66. Mark A. Williams
    67. David R. Hall
    68. Elizabeth E. Fry
    69. Juthathip Mongkolsapaya
    70. Jingshan Ren
    71. Gideon Schreiber
    72. David I. Stuart
    73. Gavin R Screaton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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