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. Development and validation of multivariable prediction models for adverse COVID-19 outcomes in patients with IBD

    1. John Sperger
    2. Kushal S Shah
    3. Minxin Lu
    4. Xian Zhang
    5. Ryan C Ungaro
    6. Erica J Brenner
    7. Manasi Agrawal
    8. Jean-Frédéric Colombel
    9. Michael D Kappelman
    10. Michael R Kosorok

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Early initiation of prophylactic anticoagulation for prevention of coronavirus disease 2019 mortality in patients admitted to hospital in the United States: cohort study

    1. Christopher T Rentsch
    2. Joshua A Beckman
    3. Laurie Tomlinson
    4. Walid F Gellad
    5. Charles Alcorn
    6. Farah Kidwai-Khan
    7. Melissa Skanderson
    8. Evan Brittain
    9. Joseph T King
    10. Yuk-Lam Ho
    11. Svetlana Eden
    12. Suman Kundu
    13. Michael F Lann
    14. Robert A Greevy
    15. P Michael Ho
    16. Paul A Heidenreich
    17. Daniel A Jacobson
    18. Ian J Douglas
    19. Janet P Tate
    20. Stephen J W Evans
    21. David Atkins
    22. Amy C Justice
    23. Matthew S Freiberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. COVID-19-related hospital cost-outcome analysis: The impact of clinical and demographic factors

    1. Anna Miethke-Morais
    2. Alex Cassenote
    3. Heloisa Piva
    4. Eric Tokunaga
    5. Vilson Cobello
    6. Fabio Augusto Rodrigues Gonçalves
    7. Renata dos Santos Lobo
    8. Evelinda Trindade
    9. Luiz Augusto Carneiro D`Albuquerque
    10. Luciana Haddad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Sustaining Social Distancing Policies to Prevent a Dangerous Second Peak of COVID-19 Outbreak

    1. Zhilan Feng
    2. Haiyun Damon-Feng
    3. Henry Zhao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Identification of cross-reactive CD8+ T cell receptors with high functional avidity to a SARS-CoV-2 immunodominant epitope and its natural mutant variants

    1. Chao Hu
    2. Meiying Shen
    3. Xiaojian Han
    4. Qian Chen
    5. Luo Li
    6. Siyin Chen
    7. Jing Zhang
    8. Fengxia Gao
    9. Wang Wang
    10. Yingming Wang
    11. Tingting Li
    12. Shenglong Li
    13. Jingjing Huang
    14. Jianwei Wang
    15. Ju Zhu
    16. Dan Chen
    17. Qingchen Wu
    18. Kun Tao
    19. Da Pang
    20. Aishun Jin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. City Reduced Probability of Infection (CityRPI) for Indoor Airborne Transmission of SARS-CoV-2 and Urban Building Energy Impacts

    1. Ali Katal
    2. Maher Albettar
    3. Liangzhu (Leon) Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. On the assessment of more reliable COVID-19 infected number: the italian case

    1. Giuseppe Tradigo
    2. Pietro Hiram Guzzi
    3. Pierangelo Veltri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Little Risk of the COVID-19 Resurgence on Students in China (outside Hubei) Caused by School Reopening

    1. Cheng Long
    2. Tieyong Zeng
    3. Xinmiao Fu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of the coronavirus disease on the mental health and physical activity of pharmacy students at the University of Zambia: a cross-sectional study

    1. Steward Mudenda
    2. Moses Mukosha
    3. Chiluba Mwila
    4. Zikria Saleem
    5. Aubrey Chichoni Kalungia
    6. Derick Munkombwe
    7. Victor Daka
    8. Bwalya Angel Witika
    9. Martin Kampamba
    10. Christabel Nang’andu Hikaambo
    11. Mohammad Jaffar Sadiq
    12. Misheck Chileshe
    13. Maisa Kasanga
    14. Webrod Mufwambi
    15. Ruth Lindizyani Mfune
    16. Scott Kaba Matafwali
    17. Paul Odlon Masebe
    18. Lungwani Tyson Muungo
    19. Angela Gono Bwalya
    20. Ronald Mutati Kampamba
    21. Ellah Zingani
    22. David Chimbizgani Banda
    23. Edgar John Sintema
    24. Akash Gupta
    25. Noor Mohammed Abdulrahman
    26. Jimmy Mapenzi Hangoma
    27. Maureen Nkandu Phiri
    28. Dainess Hang’andu
    29. Frank Mudenda
    30. Frank Mudenda
    31. Michelo Banda
    32. Eustarckio Kazonga

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Modelling COVID-19 outbreaks in USA with distinct testing, lockdown speed and fatigue rates

    1. J. C. Macdonald
    2. C. Browne
    3. H. Gulbudak

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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