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. Protection against Covid-19 by BNT162b2 Booster across Age Groups

    1. Yinon M. Bar-On
    2. Yair Goldberg
    3. Micha Mandel
    4. Omri Bodenheimer
    5. Laurence Freedman
    6. Sharon Alroy-Preis
    7. Nachman Ash
    8. Amit Huppert
    9. Ron Milo

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    4 evaluationsAppears in 2 listsLatest version Latest activity

  2. Illness Characteristics of COVID-19 in Children Infected with the SARS-CoV-2 Delta Variant

    1. Erika Molteni
    2. Carole H. Sudre
    3. Liane Dos Santos Canas
    4. Sunil S. Bhopal
    5. Robert C. Hughes
    6. Liyuan Chen
    7. Jie Deng
    8. Benjamin Murray
    9. Eric Kerfoot
    10. Michela Antonelli
    11. Mark Graham
    12. Kerstin Kläser
    13. Anna May
    14. Christina Hu
    15. Joan Capdevila Pujol
    16. Jonathan Wolf
    17. Alexander Hammers
    18. Timothy D. Spector
    19. Sebastien Ourselin
    20. Marc Modat
    21. Claire J. Steves
    22. Michael Absoud
    23. Emma L. Duncan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

    4. Department of Mathematics and Statistics, Memorial University of Newfoundland, NL, Canada
    5. Faculty of Medicine, Memorial University of Newfoundland, NL, Canada
    6. Biology Department and Department of Mathematics and Statistics, Memorial University of Newfoundland, NL, Canada

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A framework for reconstructing SARS-CoV-2 transmission dynamics using excess mortality data

    1. Mahan Ghafari
    2. Oliver J. Watson
    3. Ariel Karlinsky
    4. Luca Ferretti
    5. Aris Katzourakis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. SARS-CoV-2 hijacks neutralizing dimeric IgA for enhanced nasal infection and injury

    1. Biao Zhou
    2. Runhong Zhou
    3. Jasper Fuk-Woo Chan
    4. Jianwei Zeng
    5. Qi Zhang
    6. Shuofeng Yuan
    7. Li Liu
    8. Rémy Robinot
    9. Sisi Shan
    10. Jiwan Ge
    11. Hugo Yat-Hei Kwong
    12. Dongyan Zhou
    13. Haoran Xu
    14. Chris Chung-Sing Chan
    15. Vincent Kwok-Man Poon
    16. Hin Chu
    17. Ming Yue
    18. Ka-Yi Kwan
    19. Chun-Yin Chan
    20. Na Liu
    21. Chris Chun-Yiu Chan
    22. Kenn Ka-Heng Chik
    23. Zhenglong Du
    24. Ka-Kit Au
    25. Haode Huang
    26. Hiu-On Man
    27. Jianli Cao
    28. Cun Li
    29. Ziyi Wang
    30. Jie Zhou
    31. Youqiang Song
    32. Man-Lung Yeung
    33. Kelvin Kai-Wang To
    34. David D. Ho
    35. Lisa A. Chakrabarti
    36. Xinquan Wang
    37. Linqi Zhang
    38. Kwok-Yung Yuen
    39. Zhiwei Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Comparison of Multisystem Inflammatory Syndrome in Children–Related Myocarditis, Classic Viral Myocarditis, and COVID‐19 Vaccine‐Related Myocarditis in Children

    1. Trisha Patel
    2. Michael Kelleman
    3. Zachary West
    4. Andrew Peter
    5. Matthew Dove
    6. Arene Butto
    7. Matthew E. Oster

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  7. Poking COVID-19: Insights on Genomic Constraints among Immune-Related Genes between Qatari and Italian Populations

    1. Hamdi Mbarek
    2. Massimiliano Cocca
    3. Yasser Al-Sarraj
    4. Chadi Saad
    5. Massimo Mezzavilla
    6. Wadha AlMuftah
    7. Dario Cocciadiferro
    8. Antonio Novelli
    9. Isabella Quinti
    10. Azza AlTawashi
    11. Salvino Salvaggio
    12. Asma AlThani
    13. Giuseppe Novelli
    14. Said I. Ismail

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Neutralizing antibodies against SARS-CoV-2 variants of concern elicited by the comirnaty COVID-19 vaccine in nursing home residents

    1. Beatriz Sánchez-Sendra
    2. Eliseo Albert
    3. Joao Zulaica
    4. Ignacio Torres
    5. Estela Giménez
    6. Pilar Botija
    7. María José Beltrán
    8. Celia Rodado
    9. Ron Geller
    10. David Navarro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Internalizing problems before and during the COVID-19 pandemic in independent samples of Dutch children and adolescents with and without pre-existing mental health problems

    1. Karen Fischer
    2. Jacintha M. Tieskens
    3. Michiel A. J. Luijten
    4. Josjan Zijlmans
    5. Hedy A. van Oers
    6. Rowdy de Groot
    7. Daniël van der Doelen
    8. Hanneke van Ewijk
    9. Helen Klip
    10. Rikkert M. van der Lans
    11. Ronald De Meyer
    12. Malindi van der Mheen
    13. Maud M. van Muilekom
    14. I. Hyun Ruisch
    15. Lorynn Teela
    16. Germie van den Berg
    17. Hilgo Bruining
    18. Rachel van der Rijken
    19. Jan Buitelaar
    20. Pieter J. Hoekstra
    21. Ramón Lindauer
    22. Kim J. Oostrom
    23. Wouter Staal
    24. Robert Vermeiren
    25. Ronald Cornet
    26. Lotte Haverman
    27. Meike Bartels
    28. Tinca J. C. Polderman
    29. Arne Popma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Characterizing the Spatiotemporal Heterogeneity of the COVID-19 Vaccination Landscape

    1. Andrew Tiu
    2. Zachary Susswein
    3. Alexes Merritt
    4. Shweta Bansal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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