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. Characterization and structural prediction of the putative ORF10 protein in SARS-CoV-2

    1. Noah A. Schuster

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh

    1. Arif Masrur
    2. Manzhu Yu
    3. Wei Luo
    4. Ashraf Dewan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs

    1. Sivaramakrishnan Rajaraman
    2. Sudhir Sornapudi
    3. Philip O. Alderson
    4. Les R. Folio
    5. Sameer K. Antani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Heterogeneity in transmissibility and shedding SARS-CoV-2 via droplets and aerosols

    1. Paul Z Chen
    2. Niklas Bobrovitz
    3. Zahra Premji
    4. Marion Koopmans
    5. David N Fisman
    6. Frank X Gu

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Estimated seroprevalence of SARS-CoV-2 antibodies among adults in Orange County, California

    1. Tim A. Bruckner
    2. Daniel M. Parker
    3. Scott M. Bartell
    4. Veronica M. Vieira
    5. Saahir Khan
    6. Andrew Noymer
    7. Emily Drum
    8. Bruce Albala
    9. Matthew Zahn
    10. Bernadette Boden-Albala

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Rational evaluation of various epidemic models based on the COVID-19 data of China

    1. Wuyue Yang
    2. Dongyan Zhang
    3. Liangrong Peng
    4. Changjing Zhuge
    5. Liu Hong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Structure Model Analysis Of Phosphorylation Dependent Binding And Sequestration Of SARS-COV-2 Encoded Nucleocapsid Protein By Protein 14-3-3

    1. Pierre Limtung
    2. H.Y. Lim Tung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Estimating the risk of incident SARS-CoV-2 infection among healthcare workers in quarantine hospitals: the Egyptian example

    1. Sofía Jijón
    2. Ahmad Al Shafie
    3. Essam Hassan
    4. EMAE-MESuRS working group on nosocomial SARS-CoV-2 modeling
    5. Audrey Duval
    6. Kenza Hamzi
    7. Niels Hendrickx
    8. Ajmal Oodally
    9. Lulla Opatowski
    10. George Shirreff
    11. David R. M. Smith
    12. Cynthia Tamandjou
    13. Sofía Jijón
    14. Laura Temime
    15. Kévin Jean
    16. Laura Temime
    17. Kévin Jean
    18. Mohamed El-Kassas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Effect of non-pharmaceutical interventions to contain COVID-19 in China

    1. Shengjie Lai
    2. Nick W. Ruktanonchai
    3. Liangcai Zhou
    4. Olivia Prosper
    5. Wei Luo
    6. Jessica R. Floyd
    7. Amy Wesolowski
    8. Mauricio Santillana
    9. Chi Zhang
    10. Xiangjun Du
    11. Hongjie Yu
    12. Andrew J. Tatem

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. A Novel Method for the Estimation of a Dynamic Effective Reproduction Number (Dynamic-R) in the CoViD-19 Outbreak

    1. Yi Chen Chong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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