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. A Novel Method to Reduce ELISA Serial Dilution Assay Workload Applied to SARS-CoV-2 and Seasonal HCoVs

    1. David Pattinson
    2. Peter Jester
    3. Lizheng Guan
    4. Seiya Yamayoshi
    5. Shiho Chiba
    6. Robert Presler
    7. Hongyu Rao
    8. Kiyoko Iwatsuki-Horimoto
    9. Nobuhiro Ikeda
    10. Masao Hagihara
    11. Tomoyuki Uchida
    12. Keiko Mitamura
    13. Peter Halfmann
    14. Gabriele Neumann
    15. Yoshihiro Kawaoka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Accuracy of screening methods of COVID-19 in pregnancy: a cohort study

    1. Muhammad I. ALDIKA AKBAR
    2. Khanisyah E. GUMILAR
    3. Eccita RAHESTYNINGTYAS
    4. Manggala P. WARDHANA
    5. Pungky MULAWARDHANA
    6. Jimmy Y. ANAS
    7. Ernawati ERNAWATI
    8. Muhammad A. CAHYA LAKSANA
    9. Hermanto T. JOEWONO

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Laboratory and field evaluation of the STANDARD Q and Panbio™ SARS-CoV-2 antigen rapid test in Namibia using nasopharyngeal samples

    1. Iyaloo Konstantinus
    2. Douglas Chiwara
    3. Emmy-Else Ndevaetela
    4. Victoria Ndarukwa-Phiri
    5. Nathalia! Garus-oas
    6. Ndahafa Frans
    7. Pentikainen Ndumbu
    8. Andreas Shiningavamwe
    9. Gerhard van Rooyen
    10. Ferlin Schiceya
    11. Lindile Hlahla
    12. Pendapala Namundjebo
    13. Ifeoma Ndozi-Okia
    14. Francis Chikuse
    15. Sirak Hailu Bantiewalu
    16. Kapena Tjombonde

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Unusual SARS-CoV-2 intrahost diversity reveals lineage superinfection

    1. Filipe Zimmer Dezordi
    2. Paola Cristina Resende
    3. Felipe Gomes Naveca
    4. Valdinete Alves do Nascimento
    5. Victor Costa de Souza
    6. Anna Carolina Dias Paixão
    7. Luciana Appolinario
    8. Renata Serrano Lopes
    9. Ana Carolina da Fonseca Mendonça
    10. Alice Sampaio Barreto da Rocha
    11. Taina Moreira Martins Venas
    12. Elisa Cavalcante Pereira
    13. Marcelo Henrique Santos Paiva
    14. Cassia Docena
    15. Matheus Filgueira Bezerra
    16. Laís Ceschini Machado
    17. Richard Steiner Salvato
    18. Tatiana Schäffer Gregianini
    19. Leticia Garay Martins
    20. Felicidade Mota Pereira
    21. Darcita Buerger Rovaris
    22. Sandra Bianchini Fernandes
    23. Rodrigo Ribeiro-Rodrigues
    24. Thais Oliveira Costa
    25. Joaquim Cesar Sousa
    26. Fabio Miyajima
    27. Edson Delatorre
    28. Tiago Gräf
    29. Gonzalo Bello
    30. Marilda Mendonça Siqueira
    31. Gabriel Luz Wallau

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Self-Reported and Physiologic Reactions to Third BNT162b2 mRNA COVID-19 (Booster) Vaccine Dose

    1. Merav Mofaz
    2. Matan Yechezkel
    3. Grace Guan
    4. Margaret L. Brandeau
    5. Tal Patalon
    6. Sivan Gazit
    7. Dan Yamin
    8. Erez Shmueli

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool

    1. Mohanad Alkhodari
    2. Ahsan H. Khandoker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Analysis of the upper respiratory tract microbiota in mild and severe COVID-19 patients

    1. V. Babenko
    2. R. Bakhtyev
    3. V. Baklaushev
    4. L. Balykova
    5. P. Bashkirov
    6. J. Bespyatykh
    7. A. Blagonravova
    8. D. Boldyreva
    9. D. Fedorov
    10. I. Gafurov
    11. R. Gaifullina
    12. J. Galeeva
    13. E. Galova
    14. A. Gospodaryk
    15. E. Ilina
    16. K. Ivanov
    17. D. Kharlampieva
    18. P. Khromova
    19. K. Klimina
    20. K. Kolontarev
    21. N. Kolyshkina
    22. A. Koritsky
    23. V. Kuropatkin
    24. V. Lazarev
    25. A. Manolov
    26. V. Manuvera
    27. D. Matyushkina
    28. M. Morozov
    29. E. Moskaleva
    30. V. Musarova
    31. O. Ogarkov
    32. E. Orlova
    33. A. Pavlenko
    34. A. Petrova
    35. N. Pozhenko
    36. D. Pushkar
    37. A. Rumyantsev
    38. S. Rumyantsev
    39. V. Rumyantsev
    40. L. Rychkova
    41. A. Samoilov
    42. I. Shirokova
    43. V. Sinkov
    44. S. Solovieva
    45. E. Starikova
    46. P. Tikhonova
    47. G. Trifonova
    48. A. Troitsky
    49. A. Tulichev
    50. Y. Udalov
    51. A. Varizhuk
    52. A. Vasiliev
    53. R. Vereshchagin
    54. V. Veselovsky
    55. A. Volnukhin
    56. G. Yusubalieva
    57. V. Govorun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Access to personal protective equipment in healthcare workers during the COVID-19 pandemic in the United Kingdom: results from a nationwide cohort study (UK-REACH)

    1. Christopher A. Martin
    2. Daniel Pan
    3. Joshua Nazareth
    4. Avinash Aujayeb
    5. Luke Bryant
    6. Sue Carr
    7. Laura J. Gray
    8. Bindu Gregary
    9. Amit Gupta
    10. Anna L. Guyatt
    11. Alan Gopal
    12. Thomas Hine
    13. Catherine John
    14. I Chris McManus
    15. Carl Melbourne
    16. Laura B. Nellums
    17. Rubina Reza
    18. Sandra Simpson
    19. Martin D. Tobin
    20. Katherine Woolf
    21. Stephen Zingwe
    22. Kamlesh Khunti
    23. Manish Pareek
    24. On behalf of the UK-REACH Study Collaborative Group
    25. Manish Pareek
    26. Laura Gray
    27. Laura Nellums
    28. Anna L. Guyatt
    29. Catherine John
    30. I. Chris McManus
    31. Katherine Woolf
    32. Ibrahim Abubakar
    33. Amit Gupta
    34. Keith R. Abrams
    35. Martin D. Tobin
    36. Louise Wain
    37. Sue Carr
    38. Edward Dove
    39. Kamlesh Khunti
    40. David Ford
    41. Robert Free

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Risk factors for low humoral response to BNT-162b2 in hemodialysis patients

    1. Rui Duarte
    2. Ivan Luz
    3. Francisco Ferrer
    4. Hernâni Gonçalves
    5. Flora Sofia
    6. Karina Lopes
    7. Ana Vila Lobos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Long-Term Accuracy of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Interferon-γ Release Assay and Its Application in Household Investigation

    1. Kanagavel Murugesan
    2. Prasanna Jagannathan
    3. Jonathan Altamirano
    4. Yvonne A Maldonado
    5. Hector F Bonilla
    6. Karen B Jacobson
    7. Julie Parsonnet
    8. Jason R Andrews
    9. Run Zhang Shi
    10. Scott Boyd
    11. Benjamin A Pinsky
    12. Upinder Singh
    13. Niaz Banaei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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