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. Comparative structural analyses of selected spike protein-RBD mutations in SARS-CoV-2 lineages

    1. Urmi Roy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Report on Three Round COVID-19 Risk Blind Tests by Screening Eye-region Manifestations

    1. Yanwei Fu
    2. Lei Zhao
    3. Haojie Zheng
    4. Qiang Sun
    5. Li Yang
    6. Hong Li
    7. Jiao Xie
    8. Xiangyang Xue
    9. Feng Li
    10. Yuan Li
    11. Wei Wang
    12. Yantao Pei
    13. Jianmin Wang
    14. Xiuqi Wu
    15. Yanhua Zheng
    16. Hongxia Tian
    17. Mengwei Gu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Predicting the mutational drivers of future SARS-CoV-2 variants of concern

    1. M. Cyrus Maher
    2. Istvan Bartha
    3. Steven Weaver
    4. Julia di Iulio
    5. Elena Ferri
    6. Leah Soriaga
    7. Florian A. Lempp
    8. Brian L. Hie
    9. Bryan Bryson
    10. Bonnie Berger
    11. David L. Robertson
    12. Gyorgy Snell
    13. Davide Corti
    14. Herbert W. Virgin
    15. Sergei L. Kosakovsky Pond
    16. Amalio Telenti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Association between SARS-Cov-2 infection during pregnancy and adverse pregnancy outcomes: A re-analysis of the data reported by Wei et al. (2021)

    1. L.S. Aho Glele
    2. E. Simon
    3. C. Bouit
    4. M. Serrand
    5. L. Filipuzzi
    6. K. Astruc
    7. P. Kadhel
    8. P. Sagot

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Recovery from Covid-19 critical illness: A secondary analysis of the ISARIC4C CCP-UK cohort study and the RECOVER trial

    1. Ellen Pauley
    2. Thomas M Drake
    3. David M Griffith
    4. Louise Sigfrid
    5. Nazir I Lone
    6. Ewen M Harrison
    7. J Kenneth Baillie
    8. Janet T Scott
    9. Timothy S Walsh
    10. Malcolm G Semple
    11. Annemarie B Docherty
    12. on behalf of the ISARIC4C and RECOVER Investigators

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Modeling the Waves of Covid-19

    1. Ivan Cherednik

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Structural basis for the interaction of SARS-CoV-2 virulence factor nsp1 with Pol α - Primase

    1. Mairi L. Kilkenny
    2. Charlotte E. Veale
    3. Amir Guppy
    4. Steven W. Hardwick
    5. Dimitri Y. Chirgadze
    6. Neil J. Rzechorzek
    7. Joseph D. Maman
    8. Luca Pellegrini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. AZD1222/ChAdOx1 nCoV-19 vaccination induces a polyfunctional spike protein–specific T H 1 response with a diverse TCR repertoire

    1. Phillip A. Swanson
    2. Marcelino Padilla
    3. Wesley Hoyland
    4. Kelly McGlinchey
    5. Paul A. Fields
    6. Sagida Bibi
    7. Saul N. Faust
    8. Adrian B. McDermott
    9. Teresa Lambe
    10. Andrew J. Pollard
    11. Nicholas M. Durham
    12. Elizabeth J. Kelly
    13. AstraZeneca/Oxford/VRC Study Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Burden of COVID-19 and case fatality rate in Pune, India: an analysis of the first and second wave of the pandemic

    1. Prasad Bogam
    2. Aparna Joshi
    3. Sanket Nagarkar
    4. Divyashri Jain
    5. Nikhil Gupte
    6. LS Shashidhara
    7. Joy Merwin Monteiro
    8. Vidya Mave

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Predicting gene regulatory networks from multi-omics to link genetic risk variants and neuroimmunology to Alzheimer’s disease phenotypes

    1. Saniya Khullar
    2. Daifeng Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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