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 prevalence of long-term psychophysical olfactory dysfunction in patients with COVID-19

    1. Paolo Boscolo-Rizzo
    2. Anna Menegaldo
    3. Cristoforo Fabbris
    4. Giacomo Spinato
    5. Daniele Borsetto
    6. Luigi Angelo Vaira
    7. Leonardo Calvanese
    8. Andrea Pettorelli
    9. Massimo Sonego
    10. Daniele Frezza
    11. Andy Bertolin
    12. Walter Cestaro
    13. Roberto Rigoli
    14. Giancarlo Tirelli
    15. Maria Cristina Da Mosto
    16. Anna Menini
    17. Jerry Polesel
    18. Claire Hopkins

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Coagulopathy in patients with Coronavirus Disease 2019 (COVID-19): A systematic review and meta-analysis

    1. Xiaolin Zhang
    2. Xue Yang
    3. Hongmei Jiao
    4. Xinmin Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Modeling hospital energy and economic costs for COVID-19 infection control interventions

    1. Marietta M. Squire
    2. Megashnee Munsamy
    3. Gary Lin
    4. Arnesh Telukdarie
    5. Takeru Igusa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. In silico comparative genomics of SARS-CoV-2 to determine the source and diversity of the pathogen in Bangladesh

    1. Tushar Ahmed Shishir
    2. Iftekhar Bin Naser
    3. Shah M. Faruque

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Testing mobile air purifiers in a school classroom: Reducing the airborne transmission risk for SARS-CoV-2

    1. J. Curtius
    2. M. Granzin
    3. J. Schrod

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Limits and Opportunities of SARS-CoV-2 Antigen Rapid Tests: An Experienced-Based Perspective

    1. Verena Schildgen
    2. Sabrina Demuth
    3. Jessica Lüsebrink
    4. Oliver Schildgen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

    1. Soham Parikh
    2. Anahita Davoudi
    3. Shun Yu
    4. Carolina Giraldo
    5. Emily Schriver
    6. Danielle Mowery

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Temporal increase in D614G mutation of SARS-CoV-2 in the Middle East and North Africa

    1. Malik Sallam
    2. Nidaa A. Ababneh
    3. Deema Dababseh
    4. Faris G. Bakri
    5. Azmi Mahafzah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The interplay between vaccination and social distancing strategies affects COVID19 population-level outcomes

    1. Sharon Guerstein
    2. Victoria Romeo-Aznar
    3. Ma’ayan Dekel
    4. Oren Miron
    5. Nadav Davidovitch
    6. Rami Puzis
    7. Shai Pilosof

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Dominant clade‐featured SARS‐CoV‐2 co‐occurring mutations reveal plausible epistasis: An in silico based hypothetical model

    1. A. S. M. Rubayet Ul Alam
    2. Ovinu Kibria Islam
    3. Md. Shazid Hasan
    4. Mir Raihanul Islam
    5. Shafi Mahmud
    6. Hassan M. Al‐Emran
    7. Iqbal Kabir Jahid
    8. Keith A. Crandall
    9. M. Anwar Hossain

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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