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. Taking account of asymptomatic infections: A modeling study of the COVID-19 outbreak on the Diamond Princess cruise ship

    1. Li-Shan Huang
    2. Li Li
    3. Lucia Dunn
    4. Mai He

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Dissemination and co-circulation of SARS-CoV2 subclades exhibiting enhanced transmission associated with increased mortality in Western Europe and the United States

    1. Yuan Hu
    2. Lee W. Riley

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Functional and cognitive outcomes after COVID-19 delirium

    1. Benjamin C. Mcloughlin
    2. Amy Miles
    3. Thomas E. Webb
    4. Paul Knopp
    5. Clodagh Eyres
    6. Ambra Fabbri
    7. Fiona Humphries
    8. Daniel Davis

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Intravenous Immunoglobulin (IVIG) Significantly Reduces Respiratory Morbidity in COVID-19 Pneumonia: A Prospective Randomized Trial

    1. George Sakoulas
    2. Matthew Geriak
    3. Ravina Kullar
    4. Kristina L. Greenwood
    5. MacKenzie Habib
    6. Anuja Vyas
    7. Mitra Ghafourian
    8. Venkata Naga Kiran Dintyala
    9. Fadi Haddad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. MTX-COVAB, a human-derived antibody with potent neutralizing activity against SARS-CoV-2 infection in vitro and in a hamster model of COVID-19

    1. Simone Schmitt
    2. Marcel Weber
    3. Matthias Hillenbrand
    4. Jemima Seidenberg
    5. Andreas Zingg
    6. Catherine Townsend
    7. Barbara Eicher
    8. Justina Rutkauskaite
    9. Peggy Riese
    10. Carlos A. Guzman
    11. Karsten Fischer
    12. Christoph Esslinger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Generation and Characterization of Recombinant SARS-CoV-2 Expressing Reporter Genes

    1. Kevin Chiem
    2. Desarey Morales Vasquez
    3. Jun-Gyu Park
    4. Roy Neal Platt
    5. Tim Anderson
    6. Mark R. Walter
    7. James J. Kobie
    8. Chengjin Ye
    9. Luis Martinez-Sobrido

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Modelling the Potential Impact of Social Distancing on the COVID-19 Epidemic in South Africa

    1. F. Nyabadza
    2. F. Chirove
    3. C. W. Chukwu
    4. M. V. Visaya

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. White Blood Cells and Severe COVID-19: A Mendelian Randomization Study

    1. Yitang Sun
    2. Jingqi Zhou
    3. Kaixiong Ye

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Structural investigation of ACE2 dependent disassembly of the trimeric SARS-CoV-2 Spike glycoprotein

    1. Dongchun Ni
    2. Kelvin Lau
    3. Frank Lehmann
    4. Andri Fränkl
    5. David Hacker
    6. Florence Pojer
    7. Henning Stahlberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The Effectiveness of Targeted Quarantine for Minimising Impact of COVID-19

    1. Alastair Jamieson-Lane
    2. Eric Cytrnbaum

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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