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. The health effects in the US of quarantine policies based on predicted individual risk of severe COVID-19 outcomes

    1. Sam Lovick
    2. Gillian S. Dite
    3. Richard Allman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses

    1. Vedant Das Swain
    2. Jiajia Xie
    3. Maanit Madan
    4. Sonia Sargolzaei
    5. James Cai
    6. Munmun De Choudhury
    7. Gregory D. Abowd
    8. Lauren N. Steimle
    9. B. Aditya Prakash

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Expectant parents’ perceptions of healthcare and support during COVID-19 in the UK: a thematic analysis

    1. Ezra Aydin
    2. Kevin A. Glasgow
    3. Staci M. Weiss
    4. Topun Austin
    5. Mark H. Johnson
    6. Jane Barlow
    7. Sarah Lloyd-Fox

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Safety and efficacy of pulmonary physiotherapy in hospitalized patients with severe COVID-19 pneumonia (PPTCOVID study): A prospective, randomised, single-blind, controlled trial

    1. Mohammad Javaherian
    2. Azadeh Shadmehr
    3. Abbasali Keshtkar
    4. Mohammad Taghi Beigmohammadi
    5. Narges Dabbaghipour
    6. Aabis Syed
    7. Behrouz Attarbashi Moghadam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Replication Kinetics, Cell Tropism, and Associated Immune Responses in SARS-CoV-2- and H5N1 Virus-Infected Human Induced Pluripotent Stem Cell-Derived Neural Models

    1. Lisa Bauer
    2. Bas Lendemeijer
    3. Lonneke Leijten
    4. Carmen W. E. Embregts
    5. Barry Rockx
    6. Steven A. Kushner
    7. Femke M. S. de Vrij
    8. Debby van Riel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Postacute Sequelae of SARS-CoV-2 Infection and Impact on Quality of Life 1–6 Months After Illness and Association With Initial Symptom Severity

    1. James B O’Keefe
    2. H Caroline Minton
    3. Mary Morrow
    4. Colin Johnson
    5. Miranda A Moore
    6. Ghazala A D O’Keefe
    7. Karima Benameur
    8. Jason Higdon
    9. Jessica K Fairley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Limited window for donation of convalescent plasma with high live-virus neutralizing antibody titers for COVID-19 immunotherapy

    1. Abhinay Gontu
    2. Sreenidhi Srinivasan
    3. Eric Salazar
    4. Meera Surendran Nair
    5. Ruth H. Nissly
    6. Denver Greenawalt
    7. Ian M. Bird
    8. Catherine M. Herzog
    9. Matthew J. Ferrari
    10. Indira Poojary
    11. Robab Katani
    12. Scott E. Lindner
    13. Allen M. Minns
    14. Randall Rossi
    15. Paul A. Christensen
    16. Brian Castillo
    17. Jian Chen
    18. Todd N. Eagar
    19. Xin Yi
    20. Picheng Zhao
    21. Christopher Leveque
    22. Randall J. Olsen
    23. David W. Bernard
    24. Jimmy Gollihar
    25. Suresh V. Kuchipudi
    26. James M. Musser
    27. Vivek Kapur

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. D614G Substitution of SARS-CoV-2 Spike Protein Increases Syncytium Formation and Virus Titer via Enhanced Furin-Mediated Spike Cleavage

    1. Ya-Wen Cheng
    2. Tai-Ling Chao
    3. Chiao-Ling Li
    4. Sheng-Han Wang
    5. Han-Chieh Kao
    6. Ya-Min Tsai
    7. Hurng-Yi Wang
    8. Chi-Ling Hsieh
    9. You-Yu Lin
    10. Pei-Jer Chen
    11. Sui-Yuan Chang
    12. Shiou-Hwei Yeh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Examination of the cognitive function of Japanese community-dwelling older adults in a class for preventing cognitive decline during the COVID-19 pandemic

    1. Minoru Kouzuki
    2. Shota Furukawa
    3. Keisuke Mitani
    4. Katsuya Urakami

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Shifting research priorities in maternal and child health in the COVID-19 pandemic era in India: A renewed focus on systems strengthening

    1. Kayur Mehta
    2. Sanjay Zodpey
    3. Preetika Banerjee
    4. Stephanie L. Pocius
    5. Baldeep K. Dhaliwal
    6. Andrea DeLuca
    7. Sangeeta Das Bhattacharya
    8. Shailendra Hegde
    9. Paramita Sengupta
    10. Madhu Gupta
    11. Anita Shet

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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