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. High Liver Fat Associates with Higher Risk of Developing Symptomatic COVID-19 Infection - Initial UK Biobank Observations

    1. A Roca-Fernández
    2. A Dennis
    3. R Nicolls
    4. J McGonigle
    5. M Kelly
    6. R Banerjee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Predicting individual risk for COVID19 complications using EMR data

    1. Yaron Kinar
    2. Alon Lanyado
    3. Avi Shoshan
    4. Rachel Yesharim
    5. Tamar Domany
    6. Varda Shalev
    7. Gabriel Chodick

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. What variables can better predict the number of infections and deaths worldwide by SARS-CoV-2? Variation through time

    1. J. G. García de Alcañíz
    2. J. Romero-López
    3. R. P. Martínez-Esteban
    4. V. López-Rodas
    5. E. Costas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Anemia and iron metabolism in COVID-19: a systematic review and meta-analysis

    1. Petek Eylul Taneri
    2. Sergio Alejandro Gómez-Ochoa
    3. Erand Llanaj
    4. Peter Francis Raguindin
    5. Lyda Z. Rojas
    6. Zayne Milena Roa-Díaz
    7. Dante Salvador
    8. Dion Groothof
    9. Beatrice Minder
    10. Doris Kopp-Heim
    11. Wolf E. Hautz
    12. Michele F. Eisenga
    13. Oscar H. Franco
    14. Marija Glisic
    15. Taulant Muka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19: Analytic results for a modified SEIR model and comparison of different intervention strategies

    1. Arghya Das
    2. Abhishek Dhar
    3. Srashti Goyal
    4. Anupam Kundu
    5. Saurav Pandey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The impact of school reopening on the spread of COVID-19 in England

    1. Matt J. Keeling
    2. Michael J. Tildesley
    3. Benjamin D. Atkins
    4. Bridget Penman
    5. Emma Southall
    6. Glen Guyver-Fletcher
    7. Alex Holmes
    8. Hector McKimm
    9. Erin E. Gorsich
    10. Edward M. Hill
    11. Louise Dyson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. FEAT: A Flexible, Efficient and Accurate Test for COVID-19

    1. Linjiajie Fang
    2. Bing-Yi Jing
    3. Shen Ling
    4. Qing Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Predictive values, uncertainty, and interpretation of serology tests for the novel coronavirus

    1. Naomi C. Brownstein
    2. Yian Ann Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of COVID-19 on clinical practice, income, health and lifestyle behavior of Brazilian urologists

    1. Cristiano M. Gomes
    2. Luciano A. Favorito
    3. João Victor T. Henriques
    4. Alfredo F. Canalini
    5. Karin M. J. Anzolch
    6. Roni de C. Fernandes
    7. Carlos H. S. Bellucci
    8. Caroline S. Silva
    9. Marcelo L. Wroclawski
    10. Antonio Carlos L. Pompeo
    11. Jose de Bessa Jr.

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Comparison of epidemiological characteristics of COVID-19 patients in Vietnam

    1. Toan Ha
    2. Gualberto Ruaño
    3. Lewis Judy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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