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. Impact of population mixing between vaccinated and unvaccinated subpopulations on infectious disease dynamics: implications for SARS-CoV-2 transmission

    1. David N. Fisman
    2. Afia Amoako
    3. Ashleigh R. Tuite

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Transmission of SARS-CoV-2 by children and young people in households and schools: A meta-analysis of population-based and contact-tracing studies

    1. Russell Viner
    2. Claire Waddington
    3. Oliver Mytton
    4. Robert Booy
    5. Joana Cruz
    6. Joseph Ward
    7. Shamez Ladhani
    8. Jasmina Panovska-Griffiths
    9. Chris Bonell
    10. G.J. Melendez-Torres

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A systematic literature review of individual-level psychological and behavioral responses to the health information of COVID-19 from social media and legacy media

    1. Wei Zhai
    2. Jian Bian
    3. Jing Zhang
    4. Xueyin Bai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Multiplexed CRISPR-based microfluidic platform for clinical testing of respiratory viruses and identification of SARS-CoV-2 variants

    1. Nicole L. Welch
    2. Meilin Zhu
    3. Catherine Hua
    4. Juliane Weller
    5. Marzieh Ezzaty Mirhashemi
    6. Tien G. Nguyen
    7. Sreekar Mantena
    8. Matthew R. Bauer
    9. Bennett M. Shaw
    10. Cheri M. Ackerman
    11. Sri Gowtham Thakku
    12. Megan W. Tse
    13. Jared Kehe
    14. Marie-Martine Uwera
    15. Jacqueline S. Eversley
    16. Derek A. Bielwaski
    17. Graham McGrath
    18. Joseph Braidt
    19. Jeremy Johnson
    20. Felecia Cerrato
    21. Gage K. Moreno
    22. Lydia A. Krasilnikova
    23. Brittany A. Petros
    24. Gabrielle L. Gionet
    25. Ewa King
    26. Richard C. Huard
    27. Samantha K. Jalbert
    28. Michael L. Cleary
    29. Nicholas A. Fitzgerald
    30. Stacey B. Gabriel
    31. Glen R. Gallagher
    32. Sandra C. Smole
    33. Lawrence C. Madoff
    34. Catherine M. Brown
    35. Matthew W. Keller
    36. Malania M. Wilson
    37. Marie K. Kirby
    38. John R. Barnes
    39. Daniel J. Park
    40. Katherine J. Siddle
    41. Christian T. Happi
    42. Deborah T. Hung
    43. Michael Springer
    44. Bronwyn L. MacInnis
    45. Jacob E. Lemieux
    46. Eric Rosenberg
    47. John A. Branda
    48. Paul C. Blainey
    49. Pardis C. Sabeti
    50. Cameron Myhrvold

    Reviewed by ScreenIT

    1 evaluationAppears in 2 listsLatest version Latest activity

  5. Performances of community pharmacists and community pharmacies during COVID-19 outbreak: a cross-sectional study

    1. Afsaneh Sadeghinejad
    2. Naemeh Nikvarz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The role of sub-genomic RNA in discordant results from RT-PCR tests for COVID-19

    1. Noah B. Toppings
    2. Lisa K. Oberding
    3. Yi-Chan Lin
    4. David Evans
    5. Dylan R. Pillai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Metalloproteinase-dependent and TMPRSS2-independnt cell surface entry pathway of SARS-CoV-2 requires the furin-cleavage site and the S2 domain of spike protein

    1. Mizuki Yamamoto
    2. Jin Gohda
    3. Ayako Kobayashi
    4. Keiko Tomita
    5. Youko Hirayama
    6. Naohiko Koshikawa
    7. Motoharu Seiki
    8. Kentaro Semba
    9. Tetsu Akiyama
    10. Yasushi Kawaguchi
    11. Jun-ichiro Inoue

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Compared with SARS-CoV2 wild type’s spike protein, the SARS-CoV2 omicron’s receptor binding motif has adopted a more SARS-CoV1 and/or bat/civet-like structure

    1. Michael O. Glocker
    2. Kwabena F.M. Opuni
    3. Hans-Juergen Thiesen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Viral infection engenders bona fide and bystander lung memory B cell subsets through permissive selection

    1. Claude Gregoire
    2. Lionel Spinelli
    3. Sergio Villazala-Merino
    4. Laurine Gil
    5. Myriam Moussa
    6. Chuang Dong
    7. Ana Zarubica
    8. Mathieu Fallet
    9. Jean-Marc Navarro
    10. Bernard Malissen
    11. Pierre Milpied
    12. Mauro Gaya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. From Deer-to-Deer: SARS-CoV-2 is efficiently transmitted and presents broad tissue tropism and replication sites in white-tailed deer

    1. Mathias Martins
    2. Paola M. Boggiatto
    3. Alexandra Buckley
    4. Eric D. Cassmann
    5. Shollie Falkenberg
    6. Leonardo C. Caserta
    7. Maureen H. V. Fernandes
    8. Carly Kanipe
    9. Kelly Lager
    10. Mitchell V. Palmer
    11. Diego G. Diel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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