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. Workplace ventilation improvement to address coronavirus disease 2019 cluster occurrence in a manufacturing factory

    1. Hiroko Kitamura
    2. Yo Ishigaki
    3. Hideaki Ohashi
    4. Shinji Yokogawa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Targeted protein S-nitrosylation of ACE2 inhibits SARS-CoV-2 infection

    1. Chang-ki Oh
    2. Tomohiro Nakamura
    3. Nathan Beutler
    4. Xu Zhang
    5. Juan Piña-Crespo
    6. Maria Talantova
    7. Swagata Ghatak
    8. Dorit Trudler
    9. Lauren N. Carnevale
    10. Scott R. McKercher
    11. Malina A. Bakowski
    12. Jolene K. Diedrich
    13. Amanda J. Roberts
    14. Ashley K. Woods
    15. Victor Chi
    16. Anil K. Gupta
    17. Mia A. Rosenfeld
    18. Fiona L. Kearns
    19. Lorenzo Casalino
    20. Namir Shaabani
    21. Hejun Liu
    22. Ian A. Wilson
    23. Rommie E. Amaro
    24. Dennis R. Burton
    25. John R. Yates
    26. Cyrus Becker
    27. Thomas F. Rogers
    28. Arnab K. Chatterjee
    29. Stuart A. Lipton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Immunopharmacological evaluation of adjuvant efficacy of Monophosphoryl lipid-A and CpG ODN with SARS-CoV-2 RBD antigen

    1. Shainy Sambyal
    2. Vemireddy Sravanthi
    3. Ritika Khatri
    4. Gazala Siddqui
    5. Shubbir Ahmed
    6. Sweety Samal
    7. Halmuthur M Sampath Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Linking private health sector to public COVID-19 response in Kisumu, Kenya: Lessons Learnt

    1. M. Omollo
    2. I. A. Odero
    3. H.C. Barsosio
    4. S. Kariuki
    5. F. ter Kuile
    6. S.O. Okello
    7. K. Oyoo
    8. A. K’Oloo
    9. K. Otieno
    10. S. van Duijn
    11. S. N. Onsongo
    12. N. Houben
    13. E. Milimo
    14. R. Aroka
    15. F. Oluoch
    16. T.F. Rinke de Wit

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. A comparative analysis of serial measurements of Soluble Urokinase-type Plasminogen Activator Receptor (suPAR) and C-reactive protein in patients with moderate COVID-19: a single center study from India

    1. Atul Kakar
    2. Pooja Rani
    3. Tanvi Batra
    4. Rizwana Hasan
    5. Sangeeta Choudhury

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Early Outpatient Treatment of COVID-19: A Retrospective Analysis of 392 Cases in Italy

    1. Marco Cosentino
    2. Veronica Vernocchi
    3. Stefano Martini
    4. Franca Marino
    5. Barbara Allasino
    6. Maria Antonietta Bàlzola
    7. Fabio Burigana
    8. Alberto Dallari
    9. Carlo Servo Florio Pagano
    10. Antonio Palma
    11. Mauro Rango
    12. on behalf of IppocrateOrg Association Working Group for the Early Outpatient Treatment of COVID-19

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR

    1. Nicholas W. West
    2. Adrian A. Vasquez
    3. Azadeh Bahmani
    4. Mohammed F. Khan
    5. James Hartrick
    6. Carrie L. Turner
    7. William Shuster
    8. Jeffrey L. Ram

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Managing bed capacity and timing of interventions: a COVID-19 model considering behavior and underreporting

    1. Victoria May P. Mendoza
    2. Renier Mendoza
    3. Youngsuk Ko
    4. Jongmin Lee
    5. Eunok Jung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Time Series Analysis of SARS-CoV-2 Genomes and Correlations among Highly Prevalent Mutations

    1. Neha Periwal
    2. Shravan B. Rathod
    3. Sankritya Sarma
    4. Gundeep S. Johar
    5. Avantika Jain
    6. Ravi P. Barnwal
    7. Kinsukh R. Srivastava
    8. Baljeet Kaur
    9. Pooja Arora
    10. Vikas Sood

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Viral Dynamics of Omicron and Delta Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants With Implications for Timing of Release from Isolation: A Longitudinal Cohort Study

    1. Tara C Bouton
    2. Joseph Atarere
    3. Jacquelyn Turcinovic
    4. Scott Seitz
    5. Cole Sher-Jan
    6. Madison Gilbert
    7. Laura White
    8. Zhenwei Zhou
    9. Mohammad M Hossain
    10. Victoria Overbeck
    11. Lynn Doucette-Stamm
    12. Judy Platt
    13. Hannah E Landsberg
    14. Davidson H Hamer
    15. Catherine Klapperich
    16. Karen R Jacobson
    17. John H Connor

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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