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. Hypertonic saline and aprotinin based blockage of SARS-CoV-2 specific furin site cleavage by inhibition of nasal protease activity

    1. Clarissa Li
    2. Adam W. Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The role of multi-generational household clusters in COVID-19 in England

    1. Simon Thelwall
    2. Asad Zaidi
    3. Olisaeloka Nsonwu
    4. Wendy Rice
    5. Dimple Chudasama
    6. Theresa Lamagni
    7. Gavin Dabrera

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Resolving SARS-CoV-2 CD4+ T cell specificity via reverse epitope discovery

    1. Mikhail V. Pogorelyy
    2. Elisa Rosati
    3. Anastasia A. Minervina
    4. Robert C. Mettelman
    5. Alexander Scheffold
    6. Andre Franke
    7. Petra Bacher
    8. Paul G. Thomas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Genomic, immunological, and clinical analysis of COVID‐19 vaccine breakthrough infections in Beijing, China

    1. Di Tian
    2. Yang Song
    3. Man Zhang
    4. Yang Pan
    5. Ziruo Ge
    6. Yao Zhang
    7. Xingxiang Ren
    8. Jing Wen
    9. Yanli Xu
    10. Hong Guo
    11. Peng Yang
    12. Zhihai Chen
    13. Wenbo Xu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Antiviral activity of natural phenolic compounds in complex at an allosteric site of SARS-CoV-2 papain-like protease

    1. Vasundara Srinivasan
    2. Hévila Brognaro
    3. Prince R. Prabhu
    4. Edmarcia Elisa de Souza
    5. Sebastian Günther
    6. Patrick Y. A. Reinke
    7. Thomas J. Lane
    8. Helen Ginn
    9. Huijong Han
    10. Wiebke Ewert
    11. Janina Sprenger
    12. Faisal H. M. Koua
    13. Sven Falke
    14. Nadine Werner
    15. Hina Andaleeb
    16. Najeeb Ullah
    17. Bruno Alves Franca
    18. Mengying Wang
    19. Angélica Luana C. Barra
    20. Markus Perbandt
    21. Martin Schwinzer
    22. Christina Schmidt
    23. Lea Brings
    24. Kristina Lorenzen
    25. Robin Schubert
    26. Rafael Rahal Guaragna Machado
    27. Erika Donizette Candido
    28. Danielle Bruna Leal Oliveira
    29. Edison Luiz Durigon
    30. Stephan Niebling
    31. Angelica Struve Garcia
    32. Oleksandr Yefanov
    33. Julia Lieske
    34. Luca Gelisio
    35. Martin Domaracky
    36. Philipp Middendorf
    37. Michael Groessler
    38. Fabian Trost
    39. Marina Galchenkova
    40. Aida Rahmani Mashhour
    41. Sofiane Saouane
    42. Johanna Hakanpää
    43. Markus Wolf
    44. Maria Garcia Alai
    45. Dusan Turk
    46. Arwen R. Pearson
    47. Henry N. Chapman
    48. Winfried Hinrichs
    49. Carsten Wrenger
    50. Alke Meents
    51. Christian Betzel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Sustained Negative Mental Health Outcomes Among Healthcare Workers Over the First Year of the COVID-19 Pandemic: A Prospective Cohort Study

    1. Roberto Mediavilla
    2. Eduardo Fernández-Jiménez
    3. Irene Martinez-Morata
    4. Fabiola Jaramillo
    5. Jorge Andreo-Jover
    6. Inés Morán-Sánchez
    7. Franco Mascayano
    8. Berta Moreno-Küstner
    9. Sergio Minué
    10. José Luis Ayuso-Mateos
    11. Richard A. Bryant
    12. María-Fe Bravo-Ortiz
    13. Gonzalo Martínez-Alés

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Establishing and characterising large COVID-19 cohorts after mapping the Information System for Research in Primary Care in Catalonia to the OMOP Common Data Model

    1. Edward Burn
    2. Sergio Fernández-Bertolín
    3. Erica A Voss
    4. Clair Blacketer
    5. Maria Aragón
    6. Martina Recalde
    7. Elena Roel
    8. Andrea Pistillo
    9. Berta Raventós
    10. Carlen Reyes
    11. Sebastiaan van Sandijk
    12. Lars Halvorsen
    13. Peter R Rijnbeek
    14. Talita Duarte-Salles

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. LRRC15 is an inhibitory receptor blocking SARS-CoV-2 spike-mediated entry in trans

    1. Jaewon Song
    2. Ryan D. Chow
    3. Mario Pena-Hernandez
    4. Li Zhang
    5. Skylar A. Loeb
    6. Eui-Young So
    7. Olin D. Liang
    8. Craig B. Wilen
    9. Sanghyun Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Factors associated with COVID-19 vaccine acceptance and hesitancy among residents of Northern California jails

    1. Yiran E. Liu
    2. Jillian Oto
    3. John Will
    4. Christopher LeBoa
    5. Alexis Doyle
    6. Neil Rens
    7. Shelley Aggarwal
    8. Iryna Kalish
    9. Marcela Rodriguez
    10. Beruk Sherif
    11. Chrisele Trinidad
    12. Michael Del Rosario
    13. Sophie Allen
    14. Robert Spencer
    15. Carlos Morales
    16. Alexander Chyorny
    17. Jason R Andrews

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Atazanavir Is a Competitive Inhibitor of SARS-CoV-2 Mpro, Impairing Variants Replication In Vitro and In Vivo

    1. Otávio Augusto Chaves
    2. Carolina Q. Sacramento
    3. André C. Ferreira
    4. Mayara Mattos
    5. Natalia Fintelman-Rodrigues
    6. Jairo R. Temerozo
    7. Leonardo Vazquez
    8. Douglas Pereira Pinto
    9. Gabriel P. E. da Silveira
    10. Laís Bastos da Fonseca
    11. Heliana Martins Pereira
    12. Aluana Santana Carlos
    13. Joana C. d’Avila
    14. João P. B. Viola
    15. Robson Q. Monteiro
    16. Patrícia T. Bozza
    17. Hugo Caire Castro-Faria-Neto
    18. Thiago Moreno L. Souza

    Reviewed by ScreenIT

    1 evaluationAppears in 2 listsLatest version Latest activity
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