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. Prevalence of Venous Thromboembolism in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis

    1. Mouhand F. H. Mohamed
    2. Shaikha D. Al-Shokri
    3. Khaled M. Shunnar
    4. Sara F. Mohamed
    5. Mostafa S. Najim
    6. Shahd I. Ibrahim
    7. Hazem Elewa
    8. Lina O. Abdalla
    9. Ahmed El-Bardissy
    10. Mohamed Nabil Elshafei
    11. Ibrahim Y. Abubeker
    12. Mohammed Danjuma
    13. Khalid M. Dousa
    14. Mohamed A. Yassin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19 deaths: Which explanatory variables matter the most?

    1. Pete Riley
    2. Allison Riley
    3. James Turtle
    4. Michal Ben-Nun

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Serological analysis reveals an imbalanced IgG subclass composition associated with COVID-19 disease severity

    1. Jennifer L. Yates
    2. Dylan J. Ehrbar
    3. Danielle T. Hunt
    4. Roxanne C. Girardin
    5. Alan P. Dupuis
    6. Anne F. Payne
    7. Mycroft Sowizral
    8. Scott Varney
    9. Karen E. Kulas
    10. Valerie L. Demarest
    11. Kelly M. Howard
    12. Kyle Carson
    13. Margaux Hales
    14. Monir Ejemel
    15. Qi Li
    16. Yang Wang
    17. Ruben Peredo-Wende
    18. Ananthakrishnan Ramani
    19. Gurpreet Singh
    20. Klemen Strle
    21. Nicholas J. Mantis
    22. Kathleen A. McDonough
    23. William T. Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Bioaerosols in orthopedic surgical procedures and implications for clinical practice in the times of COVID-19: A systematic review and meta-analysis

    1. Siddhartha Sharma
    2. Rakesh John
    3. Sandeep Patel
    4. Deepak Neradi
    5. Kamal Kishore
    6. Mandeep S. Dhillon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19 hospitalizations in five California hospitals: a retrospective cohort study

    1. Miriam Nuño
    2. Yury García
    3. Ganesh Rajasekar
    4. Diego Pinheiro
    5. Alec J. Schmidt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Modeling geographical spread of COVID-19 in India using network-based approach

    1. Ankush Kumar

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Genomic epidemiology of the Los Angeles COVID-19 outbreak and the early history of the B.1.43 strain in the USA

    1. Longhua Guo
    2. James Boocock
    3. Evann E. Hilt
    4. Sukantha Chandrasekaran
    5. Yi Zhang
    6. Chetan Munugala
    7. Laila Sathe
    8. Noah Alexander
    9. Valerie A. Arboleda
    10. Jonathan Flint
    11. Eleazar Eskin
    12. Chongyuan Luo
    13. Shangxin Yang
    14. Omai B. Garner
    15. Yi Yin
    16. Joshua S. Bloom
    17. Leonid Kruglyak

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Universal Polymerase Chain Reaction and Antibody Testing Demonstrate Little to No Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in a Rural Community

    1. Ayesha Appa
    2. Saki Takahashi
    3. Isabel Rodriguez-Barraquer
    4. Gabriel Chamie
    5. Aenor Sawyer
    6. Elias Duarte
    7. Jill Hakim
    8. Keirstinne Turcios
    9. Joanna Vinden
    10. Owen Janson
    11. Aashish Manglik
    12. Michael J Peluso
    13. Steven G Deeks
    14. Timothy J Henrich
    15. Leonel Torres
    16. Mary Rodgers
    17. John Hackett
    18. Charles Chiu
    19. Diane Havlir
    20. Bryan Greenhouse

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A Downscaling Approach to Compare COVID-19 Count Data from Databases Aggregated at Different Spatial Scales

    1. Andre Python
    2. Andreas Bender
    3. Marta Blangiardo
    4. Janine B. Illian
    5. Ying Lin
    6. Baoli Liu
    7. Tim C.D. Lucas
    8. Siwei Tan
    9. Yingying Wen
    10. Davit Svanidze
    11. Jianwei Yin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem

    1. Beatriz Garcia Santa Cruz
    2. Matías Nicolás Bossa
    3. Jan Sölter
    4. Andreas Dominik Husch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 1347 of 2361 Older